deepghs/timms

By deepghs · ↓ 0 · ♥ 0 · Updated 2025-01-21

What's in this repo

This page lists the files in deepghs/timms, including model.onnx and more.

1139 ONNX models (.onnx files)
3420 files, including 2278 .json, 1139 .onnx, 1 .md, 1 .parquet
Last updated 2025-01-21

ONNX files

File	Size	Download
beit_base_patch16_224.in22k_ft_in22k/model.onnx	—	Download
beit_base_patch16_224.in22k_ft_in22k_in1k/model.onnx	—	Download
beit_base_patch16_384.in22k_ft_in22k_in1k/model.onnx	—	Download
beitv2_base_patch16_224.in1k_ft_in1k/model.onnx	—	Download
beitv2_base_patch16_224.in1k_ft_in22k/model.onnx	—	Download
beitv2_base_patch16_224.in1k_ft_in22k_in1k/model.onnx	—	Download
botnet26t_256.c1_in1k/model.onnx	—	Download
caformer_b36.sail_in1k/model.onnx	—	Download
caformer_b36.sail_in1k_384/model.onnx	—	Download
caformer_b36.sail_in22k/model.onnx	—	Download

Showing 10 of 1139 .onnx files — see the full file list on the right.

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

ONNX export version from TIMM.

Models

1139 models exported from TIMM in total.

Beit

6 models with model class Beit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
beit_base_patch16_384.in22k_ft_in22k_in1k	65.1M	37.1G	384	True	768	1000	imagenet-1k	Beit	beit_base_patch16_384	2022-12-23
beitv2_base_patch16_224.in1k_ft_in22k	81.1M	12.7G	224	True	768	21841	imagenet-22k	Beit	beitv2_base_patch16_224	2022-12-23
beit_base_patch16_224.in22k_ft_in22k	81.1M	12.7G	224	True	768	21841	imagenet-22k	Beit	beit_base_patch16_224	2022-12-23
beitv2_base_patch16_224.in1k_ft_in1k	65.1M	12.7G	224	True	768	1000	imagenet-1k	Beit	beitv2_base_patch16_224	2023-05-09
beitv2_base_patch16_224.in1k_ft_in22k_in1k	65.1M	12.7G	224	True	768	1000	imagenet-1k	Beit	beitv2_base_patch16_224	2022-12-23
beit_base_patch16_224.in22k_ft_in22k_in1k	65.1M	12.7G	224	True	768	1000	imagenet-1k	Beit	beit_base_patch16_224	2022-12-23

ByobNet

69 models with model class ByobNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
repvgg_d2se.rvgg_in1k	133.2M	74.4G	320	True	2560	1000	imagenet-1k	ByobNet	repvgg_d2se	2023-08-24
resnet50x16_clip_gap.openai	136.0M	70.1G	384	False	3072	3072		ByobNet	resnet50x16_clip_gap	2024-12-27
repvgg_b3.rvgg_in1k	123.0M	29.1G	224	True	2560	1000	imagenet-1k	ByobNet	repvgg_b3	2023-03-22
repvgg_b2.rvgg_in1k	88.9M	20.4G	224	True	2560	1000	imagenet-1k	ByobNet	repvgg_b2	2023-03-22
resnet50x4_clip_gap.openai	65.5M	19.5G	288	False	2560	2560		ByobNet	resnet50x4_clip_gap	2024-12-27
repvgg_b3g4.rvgg_in1k	83.7M	17.8G	224	True	2560	1000	imagenet-1k	ByobNet	repvgg_b3g4	2023-03-22
mobilevitv2_200.cvnets_in22k_ft_in1k_384	18.4M	16.1G	384	True	1024	1000	imagenet-1k	ByobNet	mobilevitv2_200	2023-04-25
repvgg_b1.rvgg_in1k	57.3M	13.1G	224	True	2048	1000	imagenet-1k	ByobNet	repvgg_b1	2023-03-22
repvgg_b2g4.rvgg_in1k	61.7M	12.6G	224	True	2560	1000	imagenet-1k	ByobNet	repvgg_b2g4	2023-03-22
mobilevitv2_175.cvnets_in22k_ft_in1k_384	14.2M	12.3G	384	True	896	1000	imagenet-1k	ByobNet	mobilevitv2_175	2023-04-25
regnetz_e8.ra3_in1k	57.5M	9.8G	256	True	2048	1000	imagenet-1k	ByobNet	regnetz_e8	2023-03-22
mobilevitv2_150.cvnets_in22k_ft_in1k_384	10.6M	9.1G	384	True	768	1000	imagenet-1k	ByobNet	mobilevitv2_150	2023-04-25
resnet101_clip_gap.yfcc15m	42.4M	9.1G	224	False	2048	2048		ByobNet	resnet101_clip_gap	2024-12-27
resnet101_clip_gap.openai	42.4M	9.1G	224	False	2048	2048		ByobNet	resnet101_clip_gap	2024-12-27
repvgg_b1g4.rvgg_in1k	39.9M	8.1G	224	True	2048	1000	imagenet-1k	ByobNet	repvgg_b1g4	2023-03-22
resnet61q.ra2_in1k	36.7M	7.8G	256	True	2048	1000	imagenet-1k	ByobNet	resnet61q	2023-03-22
mobilevitv2_200.cvnets_in22k_ft_in1k	18.4M	7.2G	256	True	1024	1000	imagenet-1k	ByobNet	mobilevitv2_200	2023-04-25
mobilevitv2_200.cvnets_in1k	18.4M	7.2G	256	True	1024	1000	imagenet-1k	ByobNet	mobilevitv2_200	2023-04-25
resnet51q.ra2_in1k	35.6M	6.3G	256	True	2048	1000	imagenet-1k	ByobNet	resnet51q	2023-03-22
regnetz_d32.ra3_in1k	27.5M	5.9G	256	True	1792	1000	imagenet-1k	ByobNet	regnetz_d32	2023-03-22
repvgg_a2.rvgg_in1k	28.2M	5.7G	224	True	1408	1000	imagenet-1k	ByobNet	repvgg_a2	2023-03-22
mobilevitv2_175.cvnets_in22k_ft_in1k	14.2M	5.5G	256	True	896	1000	imagenet-1k	ByobNet	mobilevitv2_175	2023-04-25
mobilevitv2_175.cvnets_in1k	14.2M	5.5G	256	True	896	1000	imagenet-1k	ByobNet	mobilevitv2_175	2023-04-25
gcresnet50t.ra2_in1k	25.8M	5.4G	256	True	2048	1000	imagenet-1k	ByobNet	gcresnet50t	2023-03-22
resnet50_clip_gap.yfcc15m	23.5M	5.4G	224	False	2048	2048		ByobNet	resnet50_clip_gap	2024-12-27
resnet50_clip_gap.openai	23.5M	5.4G	224	False	2048	2048		ByobNet	resnet50_clip_gap	2024-12-27
resnet50_clip_gap.cc12m	23.5M	5.4G	224	False	2048	2048		ByobNet	resnet50_clip_gap	2024-12-27
lambda_resnet50ts.a1h_in1k	21.5M	5.0G	256	True	2048	1000	imagenet-1k	ByobNet	lambda_resnet50ts	2023-04-27
gcresnet33ts.ra2_in1k	19.8M	4.7G	256	True	1280	1000	imagenet-1k	ByobNet	gcresnet33ts	2023-03-22
seresnet33ts.ra2_in1k	19.7M	4.7G	256	True	1280	1000	imagenet-1k	ByobNet	seresnet33ts	2023-03-22
eca_resnet33ts.ra2_in1k	19.6M	4.7G	256	True	1280	1000	imagenet-1k	ByobNet	eca_resnet33ts	2023-03-22
resnet33ts.ra2_in1k	19.6M	4.7G	256	True	1280	1000	imagenet-1k	ByobNet	resnet33ts	2023-03-22
resnet32ts.ra2_in1k	17.9M	4.6G	256	True	1536	1000	imagenet-1k	ByobNet	resnet32ts	2023-03-22
gernet_l.idstcv_in1k	31.0M	4.6G	256	True	2560	1000	imagenet-1k	ByobNet	gernet_l	2023-03-22
regnetz_d8_evos.ch_in1k	23.3M	4.5G	256	True	1792	1000	imagenet-1k	ByobNet	regnetz_d8_evos	2023-03-22
mobilevitv2_150.cvnets_in22k_ft_in1k	10.6M	4.0G	256	True	768	1000	imagenet-1k	ByobNet	mobilevitv2_150	2023-04-25
mobilevitv2_150.cvnets_in1k	10.6M	4.0G	256	True	768	1000	imagenet-1k	ByobNet	mobilevitv2_150	2023-04-25
regnetz_d8.ra3_in1k	23.3M	3.9G	256	True	1792	1000	imagenet-1k	ByobNet	regnetz_d8	2023-03-22
gcresnext50ts.ch_in1k	15.6M	3.7G	256	True	2048	1000	imagenet-1k	ByobNet	gcresnext50ts	2023-03-22
sebotnet33ts_256.a1h_in1k	13.6M	3.5G	256	True	1280	1000	imagenet-1k	ByobNet	sebotnet33ts_256	2023-04-27
repvgg_b0.rvgg_in1k	15.8M	3.4G	224	True	1280	1000	imagenet-1k	ByobNet	repvgg_b0	2023-03-22
botnet26t_256.c1_in1k	12.4M	3.2G	256	True	2048	1000	imagenet-1k	ByobNet	botnet26t_256	2023-04-27
gernet_m.idstcv_in1k	21.1M	3.0G	224	True	2560	1000	imagenet-1k	ByobNet	gernet_m	2023-03-22
lambda_resnet26t.c1_in1k	10.9M	3.0G	256	True	2048	1000	imagenet-1k	ByobNet	lambda_resnet26t	2023-04-27
mobileone_s4.apple_in1k	14.8M	3.0G	224	True	2048	1000	imagenet-1k	ByobNet	mobileone_s4	2023-08-24
lambda_resnet26rpt_256.c1_in1k	10.9M	2.9G	256	True	2048	1000	imagenet-1k	ByobNet	lambda_resnet26rpt_256	2023-04-27
mobilevitv2_125.cvnets_in1k	7.4M	2.8G	256	True	640	1000	imagenet-1k	ByobNet	mobilevitv2_125	2023-04-25
repvgg_a1.rvgg_in1k	14.1M	2.6G	224	True	1280	1000	imagenet-1k	ByobNet	repvgg_a1	2023-08-24
regnetz_c16_evos.ch_in1k	13.4M	2.5G	256	True	1536	1000	imagenet-1k	ByobNet	regnetz_c16_evos	2023-03-22
regnetz_c16.ra3_in1k	13.4M	2.5G	256	True	1536	1000	imagenet-1k	ByobNet	regnetz_c16	2023-03-22
gcresnext26ts.ch_in1k	10.4M	2.4G	256	True	2048	1000	imagenet-1k	ByobNet	gcresnext26ts	2023-03-22
seresnext26ts.ch_in1k	10.4M	2.4G	256	True	2048	1000	imagenet-1k	ByobNet	seresnext26ts	2023-03-22
eca_resnext26ts.ch_in1k	10.3M	2.4G	256	True	2048	1000	imagenet-1k	ByobNet	eca_resnext26ts	2023-03-22
resnext26ts.ra2_in1k	10.3M	2.4G	256	True	2048	1000	imagenet-1k	ByobNet	resnext26ts	2023-03-22
eca_botnext26ts_256.c1_in1k	10.6M	2.4G	256	True	2048	1000	imagenet-1k	ByobNet	eca_botnext26ts_256	2023-04-27
mobileone_s3.apple_in1k	10.1M	1.9G	224	True	2048	1000	imagenet-1k	ByobNet	mobileone_s3	2023-08-24
mobilevit_s.cvnets_in1k	5.6M	1.8G	256	True	640	1000	imagenet-1k	ByobNet	mobilevit_s	2023-04-25
mobilevitv2_100.cvnets_in1k	4.9M	1.8G	256	True	512	1000	imagenet-1k	ByobNet	mobilevitv2_100	2023-04-25
repvgg_a0.rvgg_in1k	9.1M	1.5G	224	True	1280	1000	imagenet-1k	ByobNet	repvgg_a0	2023-08-24
regnetz_b16.ra3_in1k	9.7M	1.4G	224	True	1536	1000	imagenet-1k	ByobNet	regnetz_b16	2023-03-22
mobileone_s2.apple_in1k	7.8M	1.3G	224	True	2048	1000	imagenet-1k	ByobNet	mobileone_s2	2023-08-24
mobileone_s0.apple_in1k	5.2M	1.1G	224	True	1024	1000	imagenet-1k	ByobNet	mobileone_s0	2023-08-24
mobilevitv2_075.cvnets_in1k	2.8M	1.0G	256	True	384	1000	imagenet-1k	ByobNet	mobilevitv2_075	2023-04-25
mobilevit_xs.cvnets_in1k	2.3M	912.0M	256	True	384	1000	imagenet-1k	ByobNet	mobilevit_xs	2023-04-25
mobileone_s1.apple_in1k	4.8M	830.1M	224	True	1280	1000	imagenet-1k	ByobNet	mobileone_s1	2023-08-24
gernet_s.idstcv_in1k	8.1M	744.2M	224	True	1920	1000	imagenet-1k	ByobNet	gernet_s	2023-03-22
mobilevitv2_050.cvnets_in1k	1.4M	464.6M	256	True	256	1000	imagenet-1k	ByobNet	mobilevitv2_050	2023-04-25
mobilevit_xxs.cvnets_in1k	1.3M	331.4M	256	True	320	1000	imagenet-1k	ByobNet	mobilevit_xxs	2023-04-25
test_byobnet.r160_in1k	454.5K	31.2M	160	True	256	1000	imagenet-1k	ByobNet	test_byobnet	2024-07-23

Cait

9 models with model class Cait.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
cait_m36_384.fb_dist_in1k	270.7M	154.7G	384	True	768	1000	imagenet-1k	Cait	cait_m36_384	2023-04-13
cait_s36_384.fb_dist_in1k	68.1M	38.8G	384	True	384	1000	imagenet-1k	Cait	cait_s36_384	2023-04-13
cait_s24_384.fb_dist_in1k	46.8M	26.0G	384	True	384	1000	imagenet-1k	Cait	cait_s24_384	2023-04-13
cait_xs24_384.fb_dist_in1k	26.5M	14.7G	384	True	288	1000	imagenet-1k	Cait	cait_xs24_384	2023-04-13
cait_xxs36_384.fb_dist_in1k	17.2M	9.8G	384	True	192	1000	imagenet-1k	Cait	cait_xxs36_384	2023-04-13
cait_s24_224.fb_dist_in1k	46.8M	8.6G	224	True	384	1000	imagenet-1k	Cait	cait_s24_224	2023-04-13
cait_xxs24_384.fb_dist_in1k	11.9M	6.6G	384	True	192	1000	imagenet-1k	Cait	cait_xxs24_384	2023-04-13
cait_xxs36_224.fb_dist_in1k	17.2M	3.2G	224	True	192	1000	imagenet-1k	Cait	cait_xxs36_224	2023-04-13
cait_xxs24_224.fb_dist_in1k	11.9M	2.2G	224	True	192	1000	imagenet-1k	Cait	cait_xxs24_224	2023-04-13

ConVit

3 models with model class ConVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
convit_base.fb_in1k	86.4M	16.8G	224	True	768	1000	imagenet-1k	ConVit	convit_base	2023-04-24
convit_small.fb_in1k	27.7M	5.3G	224	True	432	1000	imagenet-1k	ConVit	convit_small	2023-04-24
convit_tiny.fb_in1k	5.7M	1.1G	224	True	192	1000	imagenet-1k	ConVit	convit_tiny	2023-04-24

ConvMixer

3 models with model class ConvMixer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
convmixer_1536_20.in1k	51.6M	51.4G	224	True	1536	1000	imagenet-1k	ConvMixer	convmixer_1536_20	2023-04-24
convmixer_768_32.in1k	21.1M	20.9G	224	True	768	1000	imagenet-1k	ConvMixer	convmixer_768_32	2023-04-24
convmixer_1024_20_ks9_p14.in1k	24.4M	6.0G	224	True	1024	1000	imagenet-1k	ConvMixer	convmixer_1024_20_ks9_p14	2023-04-24

ConvNeXt

75 models with model class ConvNeXt.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
convnext_large_mlp.clip_laion2b_soup_ft_in12k_384	216.7M	101.0G	384	True	1536	11821	imagenet-12k	ConvNeXt	convnext_large_mlp	2023-04-01
convnext_large_mlp.clip_laion2b_augreg_ft_in12k_384	216.7M	101.0G	384	True	1536	11821	imagenet-12k	ConvNeXt	convnext_large_mlp	2023-04-01
convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	200.0M	101.0G	384	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large_mlp	2023-04-01
convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	200.0M	101.0G	384	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large_mlp	2023-02-07
convnextv2_large.fcmae_ft_in22k_in1k_384	197.7M	101.0G	384	True	1536	1000	imagenet-1k	ConvNeXt	convnextv2_large	2023-01-05
convnext_large.fb_in22k_ft_in1k_384	197.7M	101.0G	384	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large	2022-12-13
convnext_large_mlp.clip_laion2b_soup_ft_in12k_320	216.7M	70.1G	320	True	1536	11821	imagenet-12k	ConvNeXt	convnext_large_mlp	2023-04-01
convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	200.0M	70.1G	320	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large_mlp	2023-04-01
convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	88.5M	45.1G	384	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2023-04-01
convnext_base.clip_laiona_augreg_ft_in1k_384	88.5M	45.1G	384	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2023-02-04
convnextv2_base.fcmae_ft_in22k_in1k_384	88.5M	45.1G	384	True	1024	1000	imagenet-1k	ConvNeXt	convnextv2_base	2023-01-05
convnext_base.fb_in22k_ft_in1k_384	88.5M	45.1G	384	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2022-12-13
convnext_large_mlp.clip_laion2b_augreg_ft_in1k	200.0M	44.9G	256	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large_mlp	2023-02-04
convnext_large.fb_in22k	229.7M	34.4G	224	True	1536	21841	imagenet-22k	ConvNeXt	convnext_large	2022-12-13
convnextv2_large.fcmae_ft_in22k_in1k	197.7M	34.4G	224	True	1536	1000	imagenet-1k	ConvNeXt	convnextv2_large	2023-01-05
convnextv2_large.fcmae_ft_in1k	197.7M	34.4G	224	True	1536	1000	imagenet-1k	ConvNeXt	convnextv2_large	2023-01-05
convnext_large.fb_in22k_ft_in1k	197.7M	34.4G	224	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large	2022-12-13
convnext_large.fb_in1k	197.7M	34.4G	224	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large	2022-12-13
convnextv2_large.fcmae	196.1M	34.4G	224	False	1536	1536		ConvNeXt	convnextv2_large	2023-01-05
convnext_small.in12k_ft_in1k_384	50.2M	25.5G	384	True	768	1000	imagenet-1k	ConvNeXt	convnext_small	2023-01-19
convnext_small.fb_in22k_ft_in1k_384	50.2M	25.5G	384	True	768	1000	imagenet-1k	ConvNeXt	convnext_small	2022-12-13
convnext_base.clip_laion2b_augreg_ft_in12k	99.6M	20.1G	256	True	1024	11821	imagenet-12k	ConvNeXt	convnext_base	2023-04-01
convnext_base.clip_laion2b_augreg_ft_in12k_in1k	88.5M	20.1G	256	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2023-04-01
convnext_base.clip_laion2b_augreg_ft_in1k	88.5M	20.1G	256	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2023-02-04
convnext_base.fb_in22k	109.9M	15.4G	224	True	1024	21841	imagenet-22k	ConvNeXt	convnext_base	2022-12-13
convnextv2_base.fcmae_ft_in22k_in1k	88.5M	15.4G	224	True	1024	1000	imagenet-1k	ConvNeXt	convnextv2_base	2023-01-05
convnextv2_base.fcmae_ft_in1k	88.5M	15.4G	224	True	1024	1000	imagenet-1k	ConvNeXt	convnextv2_base	2023-01-05
convnext_base.fb_in22k_ft_in1k	88.5M	15.4G	224	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2022-12-13
convnext_base.fb_in1k	88.5M	15.4G	224	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2022-12-13
convnextv2_base.fcmae	87.5M	15.4G	224	False	1024	1024		ConvNeXt	convnextv2_base	2023-01-05
convnext_tiny.in12k_ft_in1k_384	28.6M	13.1G	384	True	768	1000	imagenet-1k	ConvNeXt	convnext_tiny	2023-01-19
convnextv2_tiny.fcmae_ft_in22k_in1k_384	28.6M	13.1G	384	True	768	1000	imagenet-1k	ConvNeXt	convnextv2_tiny	2023-01-05
convnext_tiny.fb_in22k_ft_in1k_384	28.6M	13.1G	384	True	768	1000	imagenet-1k	ConvNeXt	convnext_tiny	2022-12-13
convnext_small.fb_in22k	66.2M	8.7G	224	True	768	21841	imagenet-22k	ConvNeXt	convnext_small	2022-12-13
convnext_small.in12k	58.5M	8.7G	224	True	768	11821	imagenet-12k	ConvNeXt	convnext_small	2023-01-12
convnext_small.in12k_ft_in1k	50.2M	8.7G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_small	2023-01-12
convnext_small.fb_in22k_ft_in1k	50.2M	8.7G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_small	2022-12-13
convnext_small.fb_in1k	50.2M	8.7G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_small	2022-12-13
convnext_nano.r384_in12k	22.5M	7.2G	384	True	640	11821	imagenet-12k	ConvNeXt	convnext_nano	2025-01-01
convnext_nano.r384_ad_in12k	22.5M	7.2G	384	True	640	11821	imagenet-12k	ConvNeXt	convnext_nano	2025-01-01
convnext_nano.r384_in12k_ft_in1k	15.6M	7.2G	384	True	640	1000	imagenet-1k	ConvNeXt	convnext_nano	2025-01-01
convnextv2_nano.fcmae_ft_in22k_in1k_384	15.6M	7.2G	384	True	640	1000	imagenet-1k	ConvNeXt	convnextv2_nano	2023-01-05
convnext_tiny.fb_in22k	44.6M	4.5G	224	True	768	21841	imagenet-22k	ConvNeXt	convnext_tiny	2022-12-13
convnext_tiny.in12k	36.9M	4.5G	224	True	768	11821	imagenet-12k	ConvNeXt	convnext_tiny	2023-01-12
convnext_tiny.in12k_ft_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_tiny	2023-01-12
convnextv2_tiny.fcmae_ft_in22k_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	ConvNeXt	convnextv2_tiny	2023-01-05
convnextv2_tiny.fcmae_ft_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	ConvNeXt	convnextv2_tiny	2023-01-05
convnext_tiny_hnf.a2h_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_tiny_hnf	2022-12-13
convnext_tiny.fb_in22k_ft_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_tiny	2022-12-13
convnext_tiny.fb_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_tiny	2022-12-13
convnextv2_tiny.fcmae	27.8M	4.5G	224	False	768	768		ConvNeXt	convnextv2_tiny	2023-01-05
convnext_nano_ols.d1h_in1k	15.6M	2.6G	224	True	640	1000	imagenet-1k	ConvNeXt	convnext_nano_ols	2022-12-13
convnext_nano.in12k	22.5M	2.5G	224	True	640	11821	imagenet-12k	ConvNeXt	convnext_nano	2022-12-13
convnextv2_nano.fcmae_ft_in22k_in1k	15.6M	2.4G	224	True	640	1000	imagenet-1k	ConvNeXt	convnextv2_nano	2023-01-05
convnextv2_nano.fcmae_ft_in1k	15.6M	2.4G	224	True	640	1000	imagenet-1k	ConvNeXt	convnextv2_nano	2023-01-05
convnext_nano.in12k_ft_in1k	15.6M	2.4G	224	True	640	1000	imagenet-1k	ConvNeXt	convnext_nano	2022-12-13
convnext_nano.d1h_in1k	15.6M	2.4G	224	True	640	1000	imagenet-1k	ConvNeXt	convnext_nano	2022-12-13
convnextv2_nano.fcmae	14.9M	2.4G	224	False	640	640		ConvNeXt	convnextv2_nano	2023-01-05
convnext_pico_ols.d1_in1k	9.1M	1.4G	224	True	512	1000	imagenet-1k	ConvNeXt	convnext_pico_ols	2022-12-13
convnextv2_pico.fcmae_ft_in1k	9.0M	1.4G	224	True	512	1000	imagenet-1k	ConvNeXt	convnextv2_pico	2023-01-05
convnext_pico.d1_in1k	9.0M	1.4G	224	True	512	1000	imagenet-1k	ConvNeXt	convnext_pico	2022-12-13
convnextv2_pico.fcmae	8.5M	1.4G	224	False	512	512		ConvNeXt	convnextv2_pico	2023-01-05
convnext_femto_ols.d1_in1k	5.2M	813.1M	224	True	384	1000	imagenet-1k	ConvNeXt	convnext_femto_ols	2022-12-13
convnextv2_femto.fcmae_ft_in1k	5.2M	779.6M	224	True	384	1000	imagenet-1k	ConvNeXt	convnextv2_femto	2023-01-05
convnext_femto.d1_in1k	5.2M	779.6M	224	True	384	1000	imagenet-1k	ConvNeXt	convnext_femto	2022-12-13
convnextv2_femto.fcmae	4.8M	779.3M	224	False	384	384		ConvNeXt	convnextv2_femto	2023-01-05
convnext_atto_ols.a2_in1k	3.7M	576.6M	224	True	320	1000	imagenet-1k	ConvNeXt	convnext_atto_ols	2022-12-13
convnextv2_atto.fcmae_ft_in1k	3.7M	547.3M	224	True	320	1000	imagenet-1k	ConvNeXt	convnextv2_atto	2023-01-05
convnext_atto.d2_in1k	3.7M	547.3M	224	True	320	1000	imagenet-1k	ConvNeXt	convnext_atto	2022-12-13
convnextv2_atto.fcmae	3.4M	547.0M	224	False	320	320		ConvNeXt	convnextv2_atto	2023-01-05
convnext_zepto_rms_ols.ra4_e3600_r224_in1k	2.2M	337.1M	224	True	256	1000	imagenet-1k	ConvNeXt	convnext_zepto_rms_ols	2024-10-09
convnext_zepto_rms.ra4_e3600_r224_in1k	2.2M	302.2M	224	True	256	1000	imagenet-1k	ConvNeXt	convnext_zepto_rms	2024-10-01
test_convnext2.r160_in1k	476.1K	50.8M	160	True	128	1000	imagenet-1k	ConvNeXt	test_convnext2	2024-09-22
test_convnext3.r160_in1k	467.2K	49.8M	160	True	128	1000	imagenet-1k	ConvNeXt	test_convnext3	2024-09-22
test_convnext.r160_in1k	270.5K	31.2M	160	True	64	1000	imagenet-1k	ConvNeXt	test_convnext	2024-09-22

CspNet

15 models with model class CspNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
cs3se_edgenet_x.c2ns_in1k	50.7M	11.5G	256	True	1280	1000	imagenet-1k	CspNet	cs3se_edgenet_x	2023-04-13
cs3edgenet_x.c2_in1k	47.8M	11.5G	256	True	1280	1000	imagenet-1k	CspNet	cs3edgenet_x	2023-04-13
darknet53.c2ns_in1k	41.6M	9.3G	256	True	1024	1000	imagenet-1k	CspNet	darknet53	2023-04-13
cs3sedarknet_x.c2ns_in1k	35.4M	8.4G	256	True	1280	1000	imagenet-1k	CspNet	cs3sedarknet_x	2023-04-13
cs3darknet_x.c2ns_in1k	35.0M	8.4G	256	True	1280	1000	imagenet-1k	CspNet	cs3darknet_x	2023-04-13
darknetaa53.c2ns_in1k	36.0M	7.9G	256	True	1024	1000	imagenet-1k	CspNet	darknetaa53	2023-04-13
cspdarknet53.ra_in1k	27.6M	6.5G	256	True	1024	1000	imagenet-1k	CspNet	cspdarknet53	2023-04-13
cs3sedarknet_l.c2ns_in1k	21.9M	4.8G	256	True	1024	1000	imagenet-1k	CspNet	cs3sedarknet_l	2023-04-13
cs3darknet_l.c2ns_in1k	21.1M	4.8G	256	True	1024	1000	imagenet-1k	CspNet	cs3darknet_l	2023-04-13
cs3darknet_focus_l.c2ns_in1k	21.1M	4.6G	256	True	1024	1000	imagenet-1k	CspNet	cs3darknet_focus_l	2023-04-13
cspresnet50.ra_in1k	21.6M	4.5G	256	True	1024	1000	imagenet-1k	CspNet	cspresnet50	2023-04-13
cspresnext50.ra_in1k	20.5M	4.0G	256	True	2048	1000	imagenet-1k	CspNet	cspresnext50	2023-04-13
cs3darknet_m.c2ns_in1k	9.3M	2.1G	256	True	768	1000	imagenet-1k	CspNet	cs3darknet_m	2023-04-13
cs3darknet_focus_m.c2ns_in1k	9.3M	2.0G	256	True	768	1000	imagenet-1k	CspNet	cs3darknet_focus_m	2023-04-13
cs3darknet_focus_s.ra4_e3600_r256_in1k	3.3M	686.3M	256	True	512	1000	imagenet-1k	CspNet	cs3darknet_focus_s	2024-11-23

DLA

12 models with model class DLA.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
dla169.in1k	53.4M	11.6G	224	True	1024	1000	imagenet-1k	DLA	dla169	2023-04-25
dla102x2.in1k	41.3M	9.4G	224	True	1024	1000	imagenet-1k	DLA	dla102x2	2023-04-25
dla102.in1k	33.3M	7.2G	224	True	1024	1000	imagenet-1k	DLA	dla102	2023-04-25
dla102x.in1k	26.3M	5.9G	224	True	1024	1000	imagenet-1k	DLA	dla102x	2023-04-25
dla60.in1k	22.0M	4.3G	224	True	1024	1000	imagenet-1k	DLA	dla60	2023-04-25
dla60_res2net.in1k	20.8M	4.2G	224	True	1024	1000	imagenet-1k	DLA	dla60_res2net	2023-04-25
dla60x.in1k	17.4M	3.6G	224	True	1024	1000	imagenet-1k	DLA	dla60x	2023-04-25
dla60_res2next.in1k	17.0M	3.5G	224	True	1024	1000	imagenet-1k	DLA	dla60_res2next	2023-04-25
dla34.in1k	15.7M	3.1G	224	True	512	1000	imagenet-1k	DLA	dla34	2023-04-25
dla60x_c.in1k	1.3M	605.3M	224	True	256	1000	imagenet-1k	DLA	dla60x_c	2023-04-25
dla46_c.in1k	1.3M	592.3M	224	True	256	1000	imagenet-1k	DLA	dla46_c	2023-04-25
dla46x_c.in1k	1.1M	555.4M	224	True	256	1000	imagenet-1k	DLA	dla46x_c	2023-04-25

DPN

7 models with model class DPN.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
dpn107.mx_in1k	86.7M	18.3G	224	True	2688	1000	imagenet-1k	DPN	dpn107	2023-04-22
dpn131.mx_in1k	79.0M	16.0G	224	True	2688	1000	imagenet-1k	DPN	dpn131	2023-04-22
dpn98.mx_in1k	61.4M	11.7G	224	True	2688	1000	imagenet-1k	DPN	dpn98	2023-04-22
dpn92.mx_in1k	37.5M	6.5G	224	True	2688	1000	imagenet-1k	DPN	dpn92	2023-04-22
dpn68b.ra_in1k	12.5M	2.3G	224	True	832	1000	imagenet-1k	DPN	dpn68b	2023-04-22
dpn68b.mx_in1k	12.5M	2.3G	224	True	832	1000	imagenet-1k	DPN	dpn68b	2023-04-22
dpn68.mx_in1k	12.5M	2.3G	224	True	832	1000	imagenet-1k	DPN	dpn68	2023-04-22

DaVit

3 models with model class DaVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
davit_base.msft_in1k	87.9M	15.2G	224	True	1024	1000	imagenet-1k	DaVit	davit_base	2023-01-28
davit_small.msft_in1k	49.7M	8.6G	224	True	768	1000	imagenet-1k	DaVit	davit_small	2023-01-28
davit_tiny.msft_in1k	28.3M	4.4G	224	True	768	1000	imagenet-1k	DaVit	davit_tiny	2023-01-28

DenseNet

6 models with model class DenseNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
densenet161.tv_in1k	28.5M	7.7G	224	True	2208	1000	imagenet-1k	DenseNet	densenet161	2023-04-22
densenet201.tv_in1k	19.8M	4.3G	224	True	1920	1000	imagenet-1k	DenseNet	densenet201	2023-04-22
densenet169.tv_in1k	14.0M	3.4G	224	True	1664	1000	imagenet-1k	DenseNet	densenet169	2023-04-22
densenetblur121d.ra_in1k	7.9M	3.1G	224	True	1024	1000	imagenet-1k	DenseNet	densenetblur121d	2023-04-22
densenet121.tv_in1k	7.9M	2.8G	224	True	1024	1000	imagenet-1k	DenseNet	densenet121	2023-04-22
densenet121.ra_in1k	7.9M	2.8G	224	True	1024	1000	imagenet-1k	DenseNet	densenet121	2023-04-22

EdgeNeXt

6 models with model class EdgeNeXt.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
edgenext_base.usi_in1k	18.5M	3.8G	256	True	584	1000	imagenet-1k	EdgeNeXt	edgenext_base	2023-04-24
edgenext_base.in21k_ft_in1k	18.5M	3.8G	256	True	584	1000	imagenet-1k	EdgeNeXt	edgenext_base	2023-04-24
edgenext_small_rw.sw_in1k	7.8M	1.6G	256	True	384	1000	imagenet-1k	EdgeNeXt	edgenext_small_rw	2023-04-24
edgenext_small.usi_in1k	5.6M	1.3G	256	True	304	1000	imagenet-1k	EdgeNeXt	edgenext_small	2023-04-24
edgenext_x_small.in1k	2.3M	532.5M	256	True	192	1000	imagenet-1k	EdgeNeXt	edgenext_x_small	2023-04-24
edgenext_xx_small.in1k	1.3M	257.0M	256	True	168	1000	imagenet-1k	EdgeNeXt	edgenext_xx_small	2023-04-24

EfficientNet

50 models with model class EfficientNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
efficientnetv2_rw_m.agc_in1k	52.9M	12.6G	320	True	2152	1000	imagenet-1k	EfficientNet	efficientnetv2_rw_m	2022-12-13
efficientnet_b5.sw_in12k_ft_in1k	30.2M	9.4G	448	True	2048	1000	imagenet-1k	EfficientNet	efficientnet_b5	2022-12-13
efficientnet_b5.sw_in12k	52.4M	8.1G	416	True	2048	11821	imagenet-12k	EfficientNet	efficientnet_b5	2022-12-13
efficientnet_el_pruned.in1k	10.5M	7.9G	300	True	1536	1000	imagenet-1k	EfficientNet	efficientnet_el_pruned	2022-12-13
efficientnet_el.ra_in1k	10.5M	7.9G	300	True	1536	1000	imagenet-1k	EfficientNet	efficientnet_el	2022-12-13
efficientnetv2_rw_s.ra2_in1k	23.8M	4.9G	288	True	1792	1000	imagenet-1k	EfficientNet	efficientnetv2_rw_s	2022-12-13
efficientnet_b4.ra2_in1k	19.2M	3.1G	320	True	1792	1000	imagenet-1k	EfficientNet	efficientnet_b4	2022-12-13
efficientnet_em.ra2_in1k	6.8M	3.0G	240	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_em	2022-12-13
gc_efficientnetv2_rw_t.agc_in1k	13.6M	1.9G	224	True	1024	1000	imagenet-1k	EfficientNet	gc_efficientnetv2_rw_t	2022-12-13
efficientnetv2_rw_t.ra2_in1k	13.5M	1.9G	224	True	1024	1000	imagenet-1k	EfficientNet	efficientnetv2_rw_t	2022-12-13
mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k	8.4M	1.8G	224	True	1344	1000	imagenet-1k	EfficientNet	mobilenet_edgetpu_v2_m	2024-07-29
efficientnet_es_pruned.in1k	5.4M	1.8G	224	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_es_pruned	2022-12-13
efficientnet_es.ra_in1k	5.4M	1.8G	224	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_es	2022-12-13
efficientnet_b3.ra2_in1k	12.1M	1.6G	288	True	1536	1000	imagenet-1k	EfficientNet	efficientnet_b3	2022-12-13
efficientnet_b3_pruned.in1k	8.2M	987.5M	300	True	1536	1000	imagenet-1k	EfficientNet	efficientnet_b3_pruned	2022-12-13
mixnet_xl.ra_in1k	11.8M	904.1M	224	True	1536	1000	imagenet-1k	EfficientNet	mixnet_xl	2022-12-13
mobilenetv1_125.ra4_e3600_r224_in1k	6.2M	879.6M	224	True	1280	1000	imagenet-1k	EfficientNet	mobilenetv1_125	2024-08-15
efficientnet_b2.ra_in1k	9.0M	859.9M	256	True	1408	1000	imagenet-1k	EfficientNet	efficientnet_b2	2022-12-13
efficientnet_b2_pruned.in1k	6.8M	693.4M	260	True	1408	1000	imagenet-1k	EfficientNet	efficientnet_b2_pruned	2022-12-13
efficientnet_b1.ra4_e3600_r240_in1k	7.7M	686.9M	240	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_b1	2024-08-17
mobilenetv2_120d.ra_in1k	5.8M	668.9M	224	True	1280	1000	imagenet-1k	EfficientNet	mobilenetv2_120d	2022-12-13
mobilenetv1_100h.ra4_e3600_r224_in1k	5.3M	620.2M	224	True	1024	1000	imagenet-1k	EfficientNet	mobilenetv1_100h	2024-07-26
mobilenetv2_140.ra_in1k	6.1M	582.3M	224	True	1792	1000	imagenet-1k	EfficientNet	mobilenetv2_140	2022-12-13
efficientnet_b1.ft_in1k	7.7M	569.7M	224	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_b1	2022-12-13
mobilenetv1_100.ra4_e3600_r224_in1k	4.2M	568.8M	224	True	1024	1000	imagenet-1k	EfficientNet	mobilenetv1_100	2024-07-26
mixnet_l.ft_in1k	7.3M	555.3M	224	True	1536	1000	imagenet-1k	EfficientNet	mixnet_l	2022-12-13
mobilenetv2_110d.ra_in1k	4.5M	430.6M	224	True	1280	1000	imagenet-1k	EfficientNet	mobilenetv2_110d	2022-12-13
efficientnet_b0.ra4_e3600_r224_in1k	5.2M	385.9M	224	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_b0	2024-07-26
efficientnet_b0.ra_in1k	5.2M	385.9M	224	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_b0	2022-12-13
efficientnet_lite0.ra_in1k	4.6M	385.3M	224	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_lite0	2022-12-13
fbnetc_100.rmsp_in1k	5.5M	385.1M	224	True	1984	1000	imagenet-1k	EfficientNet	fbnetc_100	2022-12-13
efficientnet_b1_pruned.in1k	5.0M	373.1M	240	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_b1_pruned	2022-12-13
mixnet_m.ft_in1k	5.0M	339.2M	224	True	1536	1000	imagenet-1k	EfficientNet	mixnet_m	2022-12-13
tinynet_a.in1k	6.1M	336.9M	192	True	1280	1000	imagenet-1k	EfficientNet	tinynet_a	2022-12-13
spnasnet_100.rmsp_in1k	4.4M	333.5M	224	True	1280	1000	imagenet-1k	EfficientNet	spnasnet_100	2022-12-13
mnasnet_100.rmsp_in1k	4.3M	314.5M	224	True	1280	1000	imagenet-1k	EfficientNet	mnasnet_100	2022-12-13
semnasnet_100.rmsp_in1k	3.9M	311.6M	224	True	1280	1000	imagenet-1k	EfficientNet	semnasnet_100	2022-12-13
mobilenetv2_100.ra_in1k	3.5M	300.8M	224	True	1280	1000	imagenet-1k	EfficientNet	mobilenetv2_100	2022-12-13
mixnet_s.ft_in1k	4.1M	239.3M	224	True	1536	1000	imagenet-1k	EfficientNet	mixnet_s	2022-12-13
semnasnet_075.rmsp_in1k	2.9M	223.5M	224	True	1280	1000	imagenet-1k	EfficientNet	semnasnet_075	2022-12-13
tinynet_b.in1k	3.7M	200.8M	188	True	1280	1000	imagenet-1k	EfficientNet	tinynet_b	2022-12-13
tinynet_c.in1k	2.4M	99.6M	184	True	1280	1000	imagenet-1k	EfficientNet	tinynet_c	2022-12-13
mobilenetv2_050.lamb_in1k	2.0M	97.2M	224	True	1280	1000	imagenet-1k	EfficientNet	mobilenetv2_050	2022-12-13
mnasnet_small.lamb_in1k	2.0M	68.4M	224	True	1280	1000	imagenet-1k	EfficientNet	mnasnet_small	2022-12-13
test_efficientnet_ln.r160_in1k	353.7K	57.3M	160	True	256	1000	imagenet-1k	EfficientNet	test_efficientnet_ln	2024-09-22
test_efficientnet_gn.r160_in1k	353.7K	57.3M	160	True	256	1000	imagenet-1k	EfficientNet	test_efficientnet_gn	2024-09-22
test_efficientnet_evos.r160_in1k	353.7K	57.3M	160	True	256	1000	imagenet-1k	EfficientNet	test_efficientnet_evos	2024-09-22
test_efficientnet.r160_in1k	353.7K	57.3M	160	True	256	1000	imagenet-1k	EfficientNet	test_efficientnet	2024-07-23
tinynet_d.in1k	2.3M	51.6M	152	True	1280	1000	imagenet-1k	EfficientNet	tinynet_d	2022-12-13
tinynet_e.in1k	2.0M	24.4M	106	True	1280	1000	imagenet-1k	EfficientNet	tinynet_e	2022-12-13

EfficientVit

10 models with model class EfficientVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
efficientvit_b3.r288_in1k	48.6M	6.5G	288	True	2560	1000	imagenet-1k	EfficientVit	efficientvit_b3	2023-08-19
efficientvit_b3.r256_in1k	48.6M	5.2G	256	True	2560	1000	imagenet-1k	EfficientVit	efficientvit_b3	2023-08-19
efficientvit_b3.r224_in1k	48.6M	3.9G	224	True	2560	1000	imagenet-1k	EfficientVit	efficientvit_b3	2023-08-19
efficientvit_b2.r288_in1k	24.3M	2.6G	288	True	2560	1000	imagenet-1k	EfficientVit	efficientvit_b2	2023-08-19
efficientvit_b2.r256_in1k	24.3M	2.1G	256	True	2560	1000	imagenet-1k	EfficientVit	efficientvit_b2	2023-08-19
efficientvit_b2.r224_in1k	24.3M	1.6G	224	True	2560	1000	imagenet-1k	EfficientVit	efficientvit_b2	2023-08-19
efficientvit_b1.r288_in1k	9.1M	871.0M	288	True	1600	1000	imagenet-1k	EfficientVit	efficientvit_b1	2023-08-19
efficientvit_b1.r256_in1k	9.1M	689.0M	256	True	1600	1000	imagenet-1k	EfficientVit	efficientvit_b1	2023-08-19
efficientvit_b1.r224_in1k	9.1M	528.5M	224	True	1600	1000	imagenet-1k	EfficientVit	efficientvit_b1	2023-08-19
efficientvit_b0.r224_in1k	3.4M	105.5M	224	True	1280	1000	imagenet-1k	EfficientVit	efficientvit_b0	2023-08-19

EfficientVitLarge

9 models with model class EfficientVitLarge.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
efficientvit_l3.r384_in1k	246.0M	81.0G	384	True	6400	1000	imagenet-1k	EfficientVitLarge	efficientvit_l3	2023-11-22
efficientvit_l3.r320_in1k	246.0M	56.3G	320	True	6400	1000	imagenet-1k	EfficientVitLarge	efficientvit_l3	2023-11-22
efficientvit_l3.r256_in1k	246.0M	36.0G	256	True	6400	1000	imagenet-1k	EfficientVitLarge	efficientvit_l3	2023-11-22
efficientvit_l3.r224_in1k	246.0M	27.6G	224	True	6400	1000	imagenet-1k	EfficientVitLarge	efficientvit_l3	2023-11-22
efficientvit_l2.r384_in1k	63.7M	20.4G	384	True	3200	1000	imagenet-1k	EfficientVitLarge	efficientvit_l2	2023-11-22
efficientvit_l2.r288_in1k	63.7M	11.5G	288	True	3200	1000	imagenet-1k	EfficientVitLarge	efficientvit_l2	2023-11-22
efficientvit_l2.r256_in1k	63.7M	9.1G	256	True	3200	1000	imagenet-1k	EfficientVitLarge	efficientvit_l2	2023-11-22
efficientvit_l2.r224_in1k	63.7M	7.0G	224	True	3200	1000	imagenet-1k	EfficientVitLarge	efficientvit_l2	2023-11-22
efficientvit_l1.r224_in1k	52.7M	5.3G	224	True	3200	1000	imagenet-1k	EfficientVitLarge	efficientvit_l1	2023-11-22

EfficientVitMsra

6 models with model class EfficientVitMsra.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
efficientvit_m5.r224_in1k	12.5M	525.4M	224	True	384	1000	imagenet-1k	EfficientVitMsra	efficientvit_m5	2023-08-19
efficientvit_m4.r224_in1k	8.8M	301.8M	224	True	384	1000	imagenet-1k	EfficientVitMsra	efficientvit_m4	2023-08-19
efficientvit_m3.r224_in1k	6.9M	265.1M	224	True	320	1000	imagenet-1k	EfficientVitMsra	efficientvit_m3	2023-08-19
efficientvit_m2.r224_in1k	4.2M	203.3M	224	True	224	1000	imagenet-1k	EfficientVitMsra	efficientvit_m2	2023-08-19
efficientvit_m1.r224_in1k	3.0M	169.4M	224	True	192	1000	imagenet-1k	EfficientVitMsra	efficientvit_m1	2023-08-19
efficientvit_m0.r224_in1k	2.3M	80.1M	224	True	192	1000	imagenet-1k	EfficientVitMsra	efficientvit_m0	2023-08-19

Eva

12 models with model class Eva.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
eva02_base_patch14_448.mim_in22k_ft_in22k	102.3M	87.5G	448	True	768	21841	imagenet-22k	Eva	eva02_base_patch14_448	2023-03-31
eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	86.2M	87.5G	448	True	768	1000	imagenet-1k	Eva	eva02_base_patch14_448	2023-03-31
eva02_base_patch14_448.mim_in22k_ft_in1k	86.2M	87.5G	448	True	768	1000	imagenet-1k	Eva	eva02_base_patch14_448	2023-03-31
eva02_base_patch14_224.mim_in22k	85.5M	21.9G	224	False	768	768		Eva	eva02_base_patch14_224	2023-03-31
vit_base_patch16_rope_reg1_gap_256.sbb_in1k	65.1M	16.5G	256	True	768	1000	imagenet-1k	Eva	vit_base_patch16_rope_reg1_gap_256	2024-05-11
vit_mediumd_patch16_rope_reg1_gap_256.sbb_in1k	63.9M	16.3G	256	True	512	1000	imagenet-1k	Eva	vit_mediumd_patch16_rope_reg1_gap_256	2024-05-11
vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k	45.4M	11.6G	256	True	640	1000	imagenet-1k	Eva	vit_betwixt_patch16_rope_reg4_gap_256	2024-05-11
eva02_small_patch14_336.mim_in22k_ft_in1k	16.6M	9.3G	336	True	384	1000	imagenet-1k	Eva	eva02_small_patch14_336	2023-03-31
vit_medium_patch16_rope_reg1_gap_256.sbb_in1k	29.3M	7.4G	256	True	512	1000	imagenet-1k	Eva	vit_medium_patch16_rope_reg1_gap_256	2024-05-11
eva02_small_patch14_224.mim_in22k	16.2M	4.2G	224	False	384	384		Eva	eva02_small_patch14_224	2023-03-31
eva02_tiny_patch14_336.mim_in22k_ft_in1k	4.3M	2.4G	336	True	192	1000	imagenet-1k	Eva	eva02_tiny_patch14_336	2023-03-31
eva02_tiny_patch14_224.mim_in22k	4.1M	1.1G	224	False	192	192		Eva	eva02_tiny_patch14_224	2023-03-31

FastVit

14 models with model class FastVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
fastvit_ma36.apple_dist_in1k	44.0M	7.8G	256	True	1216	1000	imagenet-1k	FastVit	fastvit_ma36	2023-08-24
fastvit_ma36.apple_in1k	44.0M	7.8G	256	True	1216	1000	imagenet-1k	FastVit	fastvit_ma36	2023-08-24
fastvit_sa36.apple_dist_in1k	31.5M	5.6G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_sa36	2023-08-24
fastvit_sa36.apple_in1k	31.5M	5.6G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_sa36	2023-08-24
fastvit_sa24.apple_dist_in1k	21.5M	3.8G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_sa24	2023-08-24
fastvit_sa24.apple_in1k	21.5M	3.8G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_sa24	2023-08-24
fastvit_sa12.apple_dist_in1k	11.6M	1.9G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_sa12	2023-08-24
fastvit_sa12.apple_in1k	11.6M	1.9G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_sa12	2023-08-24
fastvit_s12.apple_dist_in1k	9.4M	1.8G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_s12	2023-08-24
fastvit_s12.apple_in1k	9.4M	1.8G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_s12	2023-08-24
fastvit_t12.apple_dist_in1k	7.5M	1.4G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_t12	2023-08-24
fastvit_t12.apple_in1k	7.5M	1.4G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_t12	2023-08-24
fastvit_t8.apple_dist_in1k	4.0M	698.4M	256	True	768	1000	imagenet-1k	FastVit	fastvit_t8	2023-08-24
fastvit_t8.apple_in1k	4.0M	698.4M	256	True	768	1000	imagenet-1k	FastVit	fastvit_t8	2023-08-24

FocalNet

8 models with model class FocalNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
focalnet_large_fl4.ms_in22k	239.2M	105.0G	384	True	1536	21842	imagenet-22k-ms	FocalNet	focalnet_large_fl4	2023-03-18
focalnet_large_fl3.ms_in22k	239.0M	104.9G	384	True	1536	21842	imagenet-22k-ms	FocalNet	focalnet_large_fl3	2023-03-18
focalnet_base_lrf.ms_in1k	88.7M	15.4G	224	True	1024	1000	imagenet-1k	FocalNet	focalnet_base_lrf	2023-03-18
focalnet_base_srf.ms_in1k	88.1M	15.2G	224	True	1024	1000	imagenet-1k	FocalNet	focalnet_base_srf	2023-03-18
focalnet_small_lrf.ms_in1k	50.3M	8.7G	224	True	768	1000	imagenet-1k	FocalNet	focalnet_small_lrf	2023-03-18
focalnet_small_srf.ms_in1k	49.9M	8.6G	224	True	768	1000	imagenet-1k	FocalNet	focalnet_small_srf	2023-03-18
focalnet_tiny_lrf.ms_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	FocalNet	focalnet_tiny_lrf	2023-03-18
focalnet_tiny_srf.ms_in1k	28.4M	4.4G	224	True	768	1000	imagenet-1k	FocalNet	focalnet_tiny_srf	2023-03-18

GhostNet

4 models with model class GhostNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
ghostnetv2_160.in1k	11.1M	426.0M	224	True	1280	1000	imagenet-1k	GhostNet	ghostnetv2_160	2023-08-20
ghostnetv2_130.in1k	7.7M	291.4M	224	True	1280	1000	imagenet-1k	GhostNet	ghostnetv2_130	2023-08-20
ghostnetv2_100.in1k	4.9M	183.8M	224	True	1280	1000	imagenet-1k	GhostNet	ghostnetv2_100	2023-08-20
ghostnet_100.in1k	3.9M	153.9M	224	True	1280	1000	imagenet-1k	GhostNet	ghostnet_100	2023-08-20

Hiera

10 models with model class Hiera.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
hiera_large_224.mae_in1k_ft_in1k	213.2M	38.5G	224	True	1152	1000	imagenet-1k	Hiera	hiera_large_224	2024-05-14
hiera_large_224.mae	212.0M	38.5G	224	False	1152	1152		Hiera	hiera_large_224	2024-05-14
hiera_base_plus_224.mae_in1k_ft_in1k	69.5M	12.0G	224	True	896	1000	imagenet-1k	Hiera	hiera_base_plus_224	2024-05-14
hiera_base_plus_224.mae	68.6M	12.0G	224	False	896	896		Hiera	hiera_base_plus_224	2024-05-14
hiera_base_224.mae_in1k_ft_in1k	51.2M	8.8G	224	True	768	1000	imagenet-1k	Hiera	hiera_base_224	2024-05-14
hiera_base_224.mae	50.4M	8.8G	224	False	768	768		Hiera	hiera_base_224	2024-05-14
hiera_small_224.mae_in1k_ft_in1k	34.7M	6.0G	224	True	768	1000	imagenet-1k	Hiera	hiera_small_224	2024-05-14
hiera_small_224.mae	33.9M	6.0G	224	False	768	768		Hiera	hiera_small_224	2024-05-14
hiera_tiny_224.mae_in1k_ft_in1k	27.6M	4.6G	224	True	768	1000	imagenet-1k	Hiera	hiera_tiny_224	2024-05-14
hiera_tiny_224.mae	26.8M	4.6G	224	False	768	768		Hiera	hiera_tiny_224	2024-05-14

HighPerfGpuNet

19 models with model class HighPerfGpuNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
hgnet_base.ssld_in1k	71.6M	25.2G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnet_base	2024-02-13
hgnetv2_b6.ssld_stage2_ft_in1k	75.3M	16.9G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b6	2024-02-13
hgnetv2_b6.ssld_stage1_in22k_in1k	75.3M	16.9G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b6	2024-02-13
hgnet_small.ssld_in1k	24.4M	8.5G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnet_small	2024-02-13
hgnet_small.paddle_in1k	24.4M	8.5G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnet_small	2024-02-13
hgnetv2_b5.ssld_stage2_ft_in1k	39.6M	6.6G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b5	2024-02-13
hgnetv2_b5.ssld_stage1_in22k_in1k	39.6M	6.6G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b5	2024-02-13
hgnet_tiny.ssld_in1k	14.7M	4.6G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnet_tiny	2024-02-13
hgnet_tiny.paddle_in1k	14.7M	4.6G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnet_tiny	2024-02-13
hgnetv2_b4.ssld_stage2_ft_in1k	19.8M	2.8G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b4	2024-02-13
hgnetv2_b4.ssld_stage1_in22k_in1k	19.8M	2.8G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b4	2024-02-13
hgnetv2_b3.ssld_stage2_ft_in1k	16.3M	1.8G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b3	2024-02-13
hgnetv2_b3.ssld_stage1_in22k_in1k	16.3M	1.8G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b3	2024-02-13
hgnetv2_b2.ssld_stage2_ft_in1k	11.2M	1.2G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b2	2024-02-13
hgnetv2_b2.ssld_stage1_in22k_in1k	11.2M	1.2G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b2	2024-02-13
hgnetv2_b1.ssld_stage2_ft_in1k	6.3M	500.4M	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b1	2024-02-13
hgnetv2_b1.ssld_stage1_in22k_in1k	6.3M	500.4M	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b1	2024-02-13
hgnetv2_b0.ssld_stage2_ft_in1k	6.0M	329.9M	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b0	2024-02-13
hgnetv2_b0.ssld_stage1_in22k_in1k	6.0M	329.9M	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b0	2024-02-13

HighResolutionNet

14 models with model class HighResolutionNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
hrnet_w64.ms_in1k	128.1M	29.0G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w64	2023-04-25
hrnet_w48_ssld.paddle_in1k	77.5M	17.4G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w48_ssld	2023-04-25
hrnet_w48.ms_in1k	77.5M	17.4G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w48	2023-04-25
hrnet_w44.ms_in1k	67.1M	15.0G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w44	2023-04-25
hrnet_w40.ms_in1k	57.6M	12.8G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w40	2023-04-25
hrnet_w32.ms_in1k	41.2M	9.0G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w32	2023-04-25
hrnet_w30.ms_in1k	37.7M	8.2G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w30	2023-04-25
hrnet_w18_ssld.paddle_in1k	21.3M	4.4G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18_ssld	2023-04-25
hrnet_w18.ms_in1k	21.3M	4.4G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18	2023-04-25
hrnet_w18.ms_aug_in1k	21.3M	4.4G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18	2023-04-25
hrnet_w18_small_v2.gluon_in1k	15.6M	2.6G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18_small_v2	2023-08-04
hrnet_w18_small_v2.ms_in1k	15.6M	2.6G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18_small_v2	2023-04-25
hrnet_w18_small.gluon_in1k	13.2M	1.6G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18_small	2023-08-04
hrnet_w18_small.ms_in1k	13.2M	1.6G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18_small	2023-04-25

InceptionResnetV2

2 models with model class InceptionResnetV2.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
inception_resnet_v2.tf_in1k	55.8M	13.2G	299	True	1536	1000	imagenet-1k	InceptionResnetV2	inception_resnet_v2	2023-04-26
inception_resnet_v2.tf_ens_adv_in1k	55.8M	13.2G	299	True	1536	1000	imagenet-1k	InceptionResnetV2	inception_resnet_v2	2023-04-26

InceptionV3

4 models with model class InceptionV3.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
inception_v3.tv_in1k	23.8M	5.7G	299	True	2048	1000	imagenet-1k	InceptionV3	inception_v3	2023-04-26
inception_v3.tf_in1k	23.8M	5.7G	299	True	2048	1000	imagenet-1k	InceptionV3	inception_v3	2023-04-26
inception_v3.tf_adv_in1k	23.8M	5.7G	299	True	2048	1000	imagenet-1k	InceptionV3	inception_v3	2023-04-26
inception_v3.gluon_in1k	23.8M	5.7G	299	True	2048	1000	imagenet-1k	InceptionV3	inception_v3	2023-04-26

InceptionV4

1 model with model class InceptionV4.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
inception_v4.tf_in1k	42.6M	12.3G	299	True	1536	1000	imagenet-1k	InceptionV4	inception_v4	2023-04-26

MambaOut

12 models with model class MambaOut.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
mambaout_base_plus_rw.sw_e150_r384_in12k_ft_in1k	101.6M	56.3G	384	True	3072	1000	imagenet-1k	MambaOut	mambaout_base_plus_rw	2024-10-15
mambaout_base_plus_rw.sw_e150_in12k	134.8M	19.2G	224	True	3072	11821	imagenet-12k	MambaOut	mambaout_base_plus_rw	2024-10-12
mambaout_base_plus_rw.sw_e150_in12k_ft_in1k	101.6M	19.2G	224	True	3072	1000	imagenet-1k	MambaOut	mambaout_base_plus_rw	2024-10-12
mambaout_base_wide_rw.sw_e500_in1k	94.4M	17.8G	224	True	3072	1000	imagenet-1k	MambaOut	mambaout_base_wide_rw	2024-10-12
mambaout_base_short_rw.sw_e500_in1k	88.8M	16.3G	224	True	3072	1000	imagenet-1k	MambaOut	mambaout_base_short_rw	2024-10-12
mambaout_base_tall_rw.sw_e500_in1k	86.4M	16.1G	224	True	3072	1000	imagenet-1k	MambaOut	mambaout_base_tall_rw	2024-10-12
mambaout_base.in1k	84.8M	15.8G	224	True	3072	1000	imagenet-1k	MambaOut	mambaout_base	2024-10-12
mambaout_small_rw.sw_e450_in1k	48.5M	8.9G	224	True	2304	1000	imagenet-1k	MambaOut	mambaout_small_rw	2024-10-12
mambaout_small.in1k	48.5M	8.9G	224	True	2304	1000	imagenet-1k	MambaOut	mambaout_small	2024-10-12
mambaout_tiny.in1k	26.5M	4.5G	224	True	2304	1000	imagenet-1k	MambaOut	mambaout_tiny	2024-10-12
mambaout_kobe.in1k	9.1M	1.5G	224	True	1152	1000	imagenet-1k	MambaOut	mambaout_kobe	2024-10-12
mambaout_femto.in1k	7.3M	1.1G	224	True	1152	1000	imagenet-1k	MambaOut	mambaout_femto	2024-10-12

MaxxVit

48 models with model class MaxxVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
maxvit_large_tf_512.in21k_ft_in1k	211.3M	223.2G	512	True	1024	1000	imagenet-1k	MaxxVit	maxvit_large_tf_512	2022-12-03
maxvit_large_tf_512.in1k	211.3M	223.2G	512	True	1024	1000	imagenet-1k	MaxxVit	maxvit_large_tf_512	2022-12-03
maxvit_large_tf_384.in21k_ft_in1k	211.3M	125.6G	384	True	1024	1000	imagenet-1k	MaxxVit	maxvit_large_tf_384	2022-12-03
maxvit_large_tf_384.in1k	211.3M	125.6G	384	True	1024	1000	imagenet-1k	MaxxVit	maxvit_large_tf_384	2022-12-03
maxvit_base_tf_512.in21k_ft_in1k	119.1M	121.9G	512	True	768	1000	imagenet-1k	MaxxVit	maxvit_base_tf_512	2022-12-03
maxvit_base_tf_512.in1k	119.1M	121.9G	512	True	768	1000	imagenet-1k	MaxxVit	maxvit_base_tf_512	2022-12-03
maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	116.0M	70.0G	384	True	1024	1000	imagenet-1k	MaxxVit	maxxvitv2_rmlp_base_rw_384	2023-01-21
maxvit_base_tf_384.in21k_ft_in1k	119.1M	68.6G	384	True	768	1000	imagenet-1k	MaxxVit	maxvit_base_tf_384	2022-12-03
maxvit_base_tf_384.in1k	119.1M	68.6G	384	True	768	1000	imagenet-1k	MaxxVit	maxvit_base_tf_384	2022-12-03
maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	115.9M	66.2G	384	True	768	1000	imagenet-1k	MaxxVit	maxvit_rmlp_base_rw_384	2023-01-21
maxvit_small_tf_512.in1k	68.7M	58.9G	512	True	768	1000	imagenet-1k	MaxxVit	maxvit_small_tf_512	2022-12-03
coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	73.8M	42.8G	384	True	1024	1000	imagenet-1k	MaxxVit	coatnet_rmlp_2_rw_384	2023-01-21
maxvit_large_tf_224.in21k	232.7M	42.8G	224	True	1024	21843	imagenet-21k-goog	MaxxVit	maxvit_large_tf_224	2023-05-11
maxvit_large_tf_224.in1k	211.3M	42.7G	224	True	1024	1000	imagenet-1k	MaxxVit	maxvit_large_tf_224	2022-12-03
maxvit_small_tf_384.in1k	68.7M	33.1G	384	True	768	1000	imagenet-1k	MaxxVit	maxvit_small_tf_384	2022-12-03
coatnet_3_rw_224.sw_in12k	181.4M	32.5G	224	True	1536	11821	imagenet-12k	MaxxVit	coatnet_3_rw_224	2023-01-21
maxvit_tiny_tf_512.in1k	30.8M	27.9G	512	True	512	1000	imagenet-1k	MaxxVit	maxvit_tiny_tf_512	2022-12-03
maxxvitv2_rmlp_base_rw_224.sw_in12k	127.1M	23.8G	224	True	1024	11821	imagenet-12k	MaxxVit	maxxvitv2_rmlp_base_rw_224	2023-01-21
maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	116.0M	23.8G	224	True	1024	1000	imagenet-1k	MaxxVit	maxxvitv2_rmlp_base_rw_224	2023-01-21
maxvit_base_tf_224.in21k	135.1M	23.4G	224	True	768	21843	imagenet-21k-goog	MaxxVit	maxvit_base_tf_224	2023-05-11
maxvit_base_tf_224.in1k	119.1M	23.3G	224	True	768	1000	imagenet-1k	MaxxVit	maxvit_base_tf_224	2022-12-03
maxvit_rmlp_base_rw_224.sw_in12k	124.3M	22.5G	224	True	768	11821	imagenet-12k	MaxxVit	maxvit_rmlp_base_rw_224	2023-01-21
maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	115.9M	22.5G	224	True	768	1000	imagenet-1k	MaxxVit	maxvit_rmlp_base_rw_224	2023-01-21
maxvit_tiny_tf_384.in1k	30.8M	15.7G	384	True	512	1000	imagenet-1k	MaxxVit	maxvit_tiny_tf_384	2022-12-03
coatnet_rmlp_2_rw_224.sw_in12k	84.9M	14.6G	224	True	1024	11821	imagenet-12k	MaxxVit	coatnet_rmlp_2_rw_224	2023-01-21
coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	73.8M	14.6G	224	True	1024	1000	imagenet-1k	MaxxVit	coatnet_rmlp_2_rw_224	2023-01-21
coatnet_rmlp_2_rw_224.sw_in1k	73.8M	14.6G	224	True	1024	1000	imagenet-1k	MaxxVit	coatnet_rmlp_2_rw_224	2023-01-21
coatnet_2_rw_224.sw_in12k	84.7M	14.5G	224	True	1024	11821	imagenet-12k	MaxxVit	coatnet_2_rw_224	2023-01-21
coatnet_2_rw_224.sw_in12k_ft_in1k	73.6M	14.5G	224	True	1024	1000	imagenet-1k	MaxxVit	coatnet_2_rw_224	2023-01-21
maxxvit_rmlp_small_rw_256.sw_in1k	65.9M	14.2G	256	True	768	1000	imagenet-1k	MaxxVit	maxxvit_rmlp_small_rw_256	2023-01-21
maxvit_small_tf_224.in1k	68.7M	11.3G	224	True	768	1000	imagenet-1k	MaxxVit	maxvit_small_tf_224	2022-12-03
maxvit_rmlp_small_rw_224.sw_in1k	64.8M	10.4G	224	True	768	1000	imagenet-1k	MaxxVit	maxvit_rmlp_small_rw_224	2023-01-21
coatnet_rmlp_1_rw2_224.sw_in12k	50.0M	7.7G	224	True	768	11821	imagenet-12k	MaxxVit	coatnet_rmlp_1_rw2_224	2023-01-21
coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	41.7M	7.7G	224	True	768	1000	imagenet-1k	MaxxVit	coatnet_rmlp_1_rw2_224	2023-01-21
coatnet_1_rw_224.sw_in1k	41.5M	7.6G	224	True	768	1000	imagenet-1k	MaxxVit	coatnet_1_rw_224	2023-01-21
coatnet_rmlp_1_rw_224.sw_in1k	41.6M	7.4G	224	True	768	1000	imagenet-1k	MaxxVit	coatnet_rmlp_1_rw_224	2023-01-21
maxvit_rmlp_tiny_rw_256.sw_in1k	29.1M	6.4G	256	True	512	1000	imagenet-1k	MaxxVit	maxvit_rmlp_tiny_rw_256	2023-01-21
maxxvitv2_nano_rw_256.sw_in1k	23.7M	6.1G	256	True	768	1000	imagenet-1k	MaxxVit	maxxvitv2_nano_rw_256	2023-01-21
maxvit_tiny_tf_224.in1k	30.8M	5.3G	224	True	512	1000	imagenet-1k	MaxxVit	maxvit_tiny_tf_224	2022-12-03
maxvit_tiny_rw_224.sw_in1k	29.0M	4.9G	224	True	512	1000	imagenet-1k	MaxxVit	maxvit_tiny_rw_224	2023-01-21
coatnet_bn_0_rw_224.sw_in1k	27.4M	4.5G	224	True	768	1000	imagenet-1k	MaxxVit	coatnet_bn_0_rw_224	2023-01-21
maxvit_rmlp_nano_rw_256.sw_in1k	15.5M	4.2G	256	True	512	1000	imagenet-1k	MaxxVit	maxvit_rmlp_nano_rw_256	2023-01-21
maxvit_nano_rw_256.sw_in1k	15.4M	4.2G	256	True	512	1000	imagenet-1k	MaxxVit	maxvit_nano_rw_256	2023-01-21
coatnet_0_rw_224.sw_in1k	27.3M	4.2G	224	True	768	1000	imagenet-1k	MaxxVit	coatnet_0_rw_224	2023-01-21
maxxvit_rmlp_nano_rw_256.sw_in1k	16.8M	4.2G	256	True	512	1000	imagenet-1k	MaxxVit	maxxvit_rmlp_nano_rw_256	2023-01-21
coatnext_nano_rw_224.sw_in1k	14.6M	2.3G	224	True	512	1000	imagenet-1k	MaxxVit	coatnext_nano_rw_224	2023-01-21
coatnet_nano_rw_224.sw_in1k	15.1M	2.3G	224	True	512	1000	imagenet-1k	MaxxVit	coatnet_nano_rw_224	2023-01-21
maxvit_rmlp_pico_rw_256.sw_in1k	7.5M	1.7G	256	True	256	1000	imagenet-1k	MaxxVit	maxvit_rmlp_pico_rw_256	2023-01-21

MetaFormer

50 models with model class MetaFormer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
convformer_b36.sail_in22k_ft_in1k_384	99.8M	66.5G	384	True	768	1000	imagenet-1k	MetaFormer	convformer_b36	2023-05-05
convformer_b36.sail_in1k_384	99.8M	66.5G	384	True	768	1000	imagenet-1k	MetaFormer	convformer_b36	2023-05-05
caformer_b36.sail_in22k_ft_in1k_384	98.7M	65.9G	384	True	768	1000	imagenet-1k	MetaFormer	caformer_b36	2023-05-05
caformer_b36.sail_in1k_384	98.7M	65.9G	384	True	768	1000	imagenet-1k	MetaFormer	caformer_b36	2023-05-05
convformer_m36.sail_in22k_ft_in1k_384	57.0M	37.7G	384	True	576	1000	imagenet-1k	MetaFormer	convformer_m36	2023-05-05
convformer_m36.sail_in1k_384	57.0M	37.7G	384	True	576	1000	imagenet-1k	MetaFormer	convformer_m36	2023-05-05
caformer_m36.sail_in22k_ft_in1k_384	56.2M	37.3G	384	True	576	1000	imagenet-1k	MetaFormer	caformer_m36	2023-05-05
caformer_m36.sail_in1k_384	56.2M	37.3G	384	True	576	1000	imagenet-1k	MetaFormer	caformer_m36	2023-05-05
convformer_b36.sail_in22k	163.9M	22.7G	224	True	768	21841	imagenet-22k	MetaFormer	convformer_b36	2023-05-05
convformer_b36.sail_in22k_ft_in1k	99.8M	22.6G	224	True	768	1000	imagenet-1k	MetaFormer	convformer_b36	2023-05-05
convformer_b36.sail_in1k	99.8M	22.6G	224	True	768	1000	imagenet-1k	MetaFormer	convformer_b36	2023-05-05
caformer_b36.sail_in22k	162.7M	22.5G	224	True	768	21841	imagenet-22k	MetaFormer	caformer_b36	2023-05-05
convformer_s36.sail_in22k_ft_in1k_384	40.0M	22.4G	384	True	512	1000	imagenet-1k	MetaFormer	convformer_s36	2023-05-05
convformer_s36.sail_in1k_384	40.0M	22.4G	384	True	512	1000	imagenet-1k	MetaFormer	convformer_s36	2023-05-05
caformer_b36.sail_in22k_ft_in1k	98.7M	22.4G	224	True	768	1000	imagenet-1k	MetaFormer	caformer_b36	2023-05-05
caformer_b36.sail_in1k	98.7M	22.4G	224	True	768	1000	imagenet-1k	MetaFormer	caformer_b36	2023-05-05
caformer_s36.sail_in22k_ft_in1k_384	39.3M	22.1G	384	True	512	1000	imagenet-1k	MetaFormer	caformer_s36	2023-05-05
caformer_s36.sail_in1k_384	39.3M	22.1G	384	True	512	1000	imagenet-1k	MetaFormer	caformer_s36	2023-05-05
convformer_m36.sail_in22k	105.0M	12.9G	224	True	576	21841	imagenet-22k	MetaFormer	convformer_m36	2023-05-05
convformer_m36.sail_in22k_ft_in1k	57.0M	12.8G	224	True	576	1000	imagenet-1k	MetaFormer	convformer_m36	2023-05-05
convformer_m36.sail_in1k	57.0M	12.8G	224	True	576	1000	imagenet-1k	MetaFormer	convformer_m36	2023-05-05
caformer_m36.sail_in22k	104.2M	12.7G	224	True	576	21841	imagenet-22k	MetaFormer	caformer_m36	2023-05-05
caformer_m36.sail_in22k_ft_in1k	56.2M	12.7G	224	True	576	1000	imagenet-1k	MetaFormer	caformer_m36	2023-05-05
caformer_m36.sail_in1k	56.2M	12.7G	224	True	576	1000	imagenet-1k	MetaFormer	caformer_m36	2023-05-05
convformer_s18.sail_in22k_ft_in1k_384	26.7M	11.6G	384	True	512	1000	imagenet-1k	MetaFormer	convformer_s18	2023-05-05
convformer_s18.sail_in1k_384	26.7M	11.6G	384	True	512	1000	imagenet-1k	MetaFormer	convformer_s18	2023-05-05
poolformerv2_m48.sail_in1k	73.3M	11.5G	224	True	768	1000	imagenet-1k	MetaFormer	poolformerv2_m48	2023-05-05
poolformer_m48.sail_in1k	73.4M	11.5G	224	True	768	1000	imagenet-1k	MetaFormer	poolformer_m48	2023-05-05
caformer_s18.sail_in22k_ft_in1k_384	26.3M	11.4G	384	True	512	1000	imagenet-1k	MetaFormer	caformer_s18	2023-05-05
caformer_s18.sail_in1k_384	26.3M	11.4G	384	True	512	1000	imagenet-1k	MetaFormer	caformer_s18	2023-05-05
poolformerv2_m36.sail_in1k	56.0M	8.8G	224	True	768	1000	imagenet-1k	MetaFormer	poolformerv2_m36	2023-05-05
poolformer_m36.sail_in1k	56.1M	8.8G	224	True	768	1000	imagenet-1k	MetaFormer	poolformer_m36	2023-05-05
convformer_s36.sail_in22k	82.7M	7.7G	224	True	512	21841	imagenet-22k	MetaFormer	convformer_s36	2023-05-05
convformer_s36.sail_in22k_ft_in1k	40.0M	7.6G	224	True	512	1000	imagenet-1k	MetaFormer	convformer_s36	2023-05-05
convformer_s36.sail_in1k	40.0M	7.6G	224	True	512	1000	imagenet-1k	MetaFormer	convformer_s36	2023-05-05
caformer_s36.sail_in22k	82.0M	7.6G	224	True	512	21841	imagenet-22k	MetaFormer	caformer_s36	2023-05-05
caformer_s36.sail_in22k_ft_in1k	39.3M	7.5G	224	True	512	1000	imagenet-1k	MetaFormer	caformer_s36	2023-05-05
caformer_s36.sail_in1k	39.3M	7.5G	224	True	512	1000	imagenet-1k	MetaFormer	caformer_s36	2023-05-05
poolformerv2_s36.sail_in1k	30.8M	5.0G	224	True	512	1000	imagenet-1k	MetaFormer	poolformerv2_s36	2023-05-05
poolformer_s36.sail_in1k	30.8M	5.0G	224	True	512	1000	imagenet-1k	MetaFormer	poolformer_s36	2023-05-05
convformer_s18.sail_in22k	69.5M	4.0G	224	True	512	21841	imagenet-22k	MetaFormer	convformer_s18	2023-05-05
convformer_s18.sail_in22k_ft_in1k	26.7M	3.9G	224	True	512	1000	imagenet-1k	MetaFormer	convformer_s18	2023-05-05
convformer_s18.sail_in1k	26.7M	3.9G	224	True	512	1000	imagenet-1k	MetaFormer	convformer_s18	2023-05-05
caformer_s18.sail_in22k	69.0M	3.9G	224	True	512	21841	imagenet-22k	MetaFormer	caformer_s18	2023-05-05
caformer_s18.sail_in22k_ft_in1k	26.3M	3.9G	224	True	512	1000	imagenet-1k	MetaFormer	caformer_s18	2023-05-05
caformer_s18.sail_in1k	26.3M	3.9G	224	True	512	1000	imagenet-1k	MetaFormer	caformer_s18	2023-05-05
poolformerv2_s24.sail_in1k	21.3M	3.4G	224	True	512	1000	imagenet-1k	MetaFormer	poolformerv2_s24	2023-05-05
poolformer_s24.sail_in1k	21.3M	3.4G	224	True	512	1000	imagenet-1k	MetaFormer	poolformer_s24	2023-05-05
poolformerv2_s12.sail_in1k	11.9M	1.8G	224	True	512	1000	imagenet-1k	MetaFormer	poolformerv2_s12	2023-05-05
poolformer_s12.sail_in1k	11.9M	1.8G	224	True	512	1000	imagenet-1k	MetaFormer	poolformer_s12	2023-05-05

MetaNeXt

5 models with model class MetaNeXt.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
inception_next_base.sail_in1k_384	86.7M	43.7G	384	True	3072	1000	imagenet-1k	MetaNeXt	inception_next_base	2023-08-25
inception_next_base.sail_in1k	86.7M	14.9G	224	True	3072	1000	imagenet-1k	MetaNeXt	inception_next_base	2023-08-25
inception_next_small.sail_in1k	49.4M	8.4G	224	True	2304	1000	imagenet-1k	MetaNeXt	inception_next_small	2023-08-25
inception_next_tiny.sail_in1k	28.0M	4.2G	224	True	2304	1000	imagenet-1k	MetaNeXt	inception_next_tiny	2023-08-25
inception_next_atto.sail_in1k	4.2M	506.8M	224	True	960	1000	imagenet-1k	MetaNeXt	inception_next_atto	2024-12-07

MlpMixer

19 models with model class MlpMixer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
resmlp_big_24_224.fb_in22k_ft_in1k	129.0M	100.2G	224	True	768	1000	imagenet-1k	MlpMixer	resmlp_big_24_224	2023-03-28
resmlp_big_24_224.fb_in1k	129.0M	100.2G	224	True	768	1000	imagenet-1k	MlpMixer	resmlp_big_24_224	2023-03-28
resmlp_big_24_224.fb_distilled_in1k	129.0M	100.2G	224	True	768	1000	imagenet-1k	MlpMixer	resmlp_big_24_224	2023-03-28
mixer_l16_224.goog_in21k	229.6M	44.6G	224	True	1024	21843	imagenet-21k-goog	MlpMixer	mixer_l16_224	2023-03-28
mixer_l16_224.goog_in21k_ft_in1k	208.2M	44.6G	224	True	1024	1000	imagenet-1k	MlpMixer	mixer_l16_224	2023-03-28
mixer_b16_224.goog_in21k	75.9M	12.6G	224	True	768	21843	imagenet-21k-goog	MlpMixer	mixer_b16_224	2023-03-28
mixer_b16_224.miil_in21k	67.7M	12.6G	224	True	768	11221	imagenet-21k-miil	MlpMixer	mixer_b16_224	2023-03-28
mixer_b16_224.miil_in21k_ft_in1k	59.9M	12.6G	224	True	768	1000	imagenet-1k	MlpMixer	mixer_b16_224	2023-03-28
mixer_b16_224.goog_in21k_ft_in1k	59.9M	12.6G	224	True	768	1000	imagenet-1k	MlpMixer	mixer_b16_224	2023-03-28
resmlp_36_224.fb_in1k	44.6M	8.9G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_36_224	2023-03-28
resmlp_36_224.fb_distilled_in1k	44.6M	8.9G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_36_224	2023-03-28
resmlp_24_224.fb_in1k	30.0M	6.0G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_24_224	2023-03-28
resmlp_24_224.fb_distilled_in1k	30.0M	6.0G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_24_224	2023-03-28
resmlp_24_224.fb_dino	30.0M	6.0G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_24_224	2023-03-28
gmixer_24_224.ra3_in1k	24.7M	5.3G	224	True	384	1000	imagenet-1k	MlpMixer	gmixer_24_224	2023-03-28
gmlp_s16_224.ra3_in1k	19.4M	4.4G	224	True	256	1000	imagenet-1k	MlpMixer	gmlp_s16_224	2023-03-28
resmlp_12_224.fb_in1k	15.3M	3.0G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_12_224	2023-03-28
resmlp_12_224.fb_distilled_in1k	15.3M	3.0G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_12_224	2023-03-28
resmlp_12_224.fb_dino	15.3M	3.0G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_12_224	2023-03-28

MobileNetV3

45 models with model class MobileNetV3.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	31.2M	9.5G	448	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_aa_large	2024-07-26
mobilenetv4_hybrid_large.ix_e600_r384_in1k	36.3M	7.4G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_hybrid_large	2024-06-25
mobilenetv4_hybrid_large.e600_r384_in1k	36.3M	7.4G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_hybrid_large	2024-06-18
mobilenetv4_conv_aa_large.e600_r384_in1k	31.2M	7.0G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_aa_large	2024-07-26
mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	31.2M	7.0G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_aa_large	2024-07-26
mobilenetv4_conv_aa_large.e230_r384_in12k	31.2M	7.0G	384	True	1280	11821	imagenet-12k	MobileNetV3	mobilenetv4_conv_aa_large	2024-07-26
mobilenetv4_conv_large.e600_r384_in1k	31.2M	6.4G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_large	2024-06-13
mobilenetv4_conv_large.e500_r256_in1k	31.2M	2.8G	256	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_large	2024-06-12
mobilenetv4_hybrid_medium.ix_e550_r384_in1k	9.7M	2.8G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_hybrid_medium	2024-06-25
mobilenetv4_conv_medium.e250_r384_in12k_ft_in1k	8.4M	2.4G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_medium	2024-11-23
mobilenetv4_conv_medium.e250_r384_in12k	8.4M	2.4G	384	True	1280	11821	imagenet-12k	MobileNetV3	mobilenetv4_conv_medium	2024-11-18
mobilenetv4_conv_medium.e180_r384_in12k	8.4M	2.4G	384	True	1280	11821	imagenet-12k	MobileNetV3	mobilenetv4_conv_medium	2024-11-18
mobilenetv4_conv_medium.e180_ad_r384_in12k	8.4M	2.4G	384	True	1280	11821	imagenet-12k	MobileNetV3	mobilenetv4_conv_medium	2024-11-18
fbnetv3_g.ra2_in1k	14.5M	1.3G	240	True	1984	1000	imagenet-1k	MobileNetV3	fbnetv3_g	2022-12-16
mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	9.7M	1.2G	256	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_hybrid_medium	2024-07-26
mobilenetv4_hybrid_medium.e200_r256_in12k	9.7M	1.2G	256	True	1280	11821	imagenet-12k	MobileNetV3	mobilenetv4_hybrid_medium	2024-07-26
mobilenetv4_hybrid_medium.ix_e550_r256_in1k	9.7M	1.2G	256	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_hybrid_medium	2024-06-25
mobilenetv4_conv_blur_medium.e500_r224_in1k	8.4M	1.2G	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_blur_medium	2024-06-12
mobilenetv4_conv_medium.e500_r256_in1k	8.4M	1.1G	256	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_medium	2024-06-12
mobilenetv3_large_150d.ra4_e3600_r256_in1k	13.3M	1.0G	256	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv3_large_150d	2024-09-03
mobilenetv4_hybrid_medium.e500_r224_in1k	9.7M	940.7M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_hybrid_medium	2024-06-12
mobilenetv4_conv_medium.e500_r224_in1k	8.4M	826.4M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_medium	2024-06-12
fbnetv3_d.ra2_in1k	8.3M	500.1M	224	True	1984	1000	imagenet-1k	MobileNetV3	fbnetv3_d	2022-12-16
fbnetv3_b.ra2_in1k	6.6M	405.6M	224	True	1984	1000	imagenet-1k	MobileNetV3	fbnetv3_b	2022-12-16
hardcorenas_f.miil_green_in1k	6.9M	340.7M	224	True	1280	1000	imagenet-1k	MobileNetV3	hardcorenas_f	2023-04-22
hardcorenas_e.miil_green_in1k	6.8M	337.5M	224	True	1280	1000	imagenet-1k	MobileNetV3	hardcorenas_e	2023-04-22
hardcorenas_d.miil_green_in1k	6.2M	286.6M	224	True	1280	1000	imagenet-1k	MobileNetV3	hardcorenas_d	2023-04-22
hardcorenas_c.miil_green_in1k	4.2M	268.8M	224	True	1280	1000	imagenet-1k	MobileNetV3	hardcorenas_c	2023-04-22
hardcorenas_b.miil_green_in1k	3.9M	250.6M	224	True	1280	1000	imagenet-1k	MobileNetV3	hardcorenas_b	2023-04-22
mobilenetv4_conv_small.e3600_r256_in1k	2.5M	241.0M	256	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_small	2024-12-03
hardcorenas_a.miil_green_in1k	4.0M	223.0M	224	True	1280	1000	imagenet-1k	MobileNetV3	hardcorenas_a	2023-04-22
mobilenetv3_large_100.ra4_e3600_r224_in1k	4.2M	215.4M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv3_large_100	2024-09-03
mobilenetv3_large_100.ra_in1k	4.2M	215.4M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv3_large_100	2022-12-16
mobilenetv3_large_100.miil_in21k_ft_in1k	4.2M	215.4M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv3_large_100	2022-12-16
mobilenetv3_large_100.miil_in21k	4.2M	215.4M	224	True	1280	11221	imagenet-21k-miil	MobileNetV3	mobilenetv3_large_100	2022-12-16
mobilenetv3_rw.rmsp_in1k	4.2M	215.4M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv3_rw	2022-12-16
mobilenetv4_conv_small.e2400_r224_in1k	2.5M	184.8M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_small	2024-06-17
mobilenetv4_conv_small.e1200_r224_in1k	2.5M	184.8M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_small	2024-06-12
lcnet_100.ra2_in1k	1.7M	154.4M	224	True	1280	1000	imagenet-1k	MobileNetV3	lcnet_100	2022-12-16
lcnet_075.ra2_in1k	1.1M	93.5M	224	True	1280	1000	imagenet-1k	MobileNetV3	lcnet_075	2022-12-16
mobilenetv4_conv_small_050.e3000_r224_in1k	944.1K	63.5M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_small_050	2024-09-23
mobilenetv3_small_100.lamb_in1k	1.5M	55.5M	224	True	1024	1000	imagenet-1k	MobileNetV3	mobilenetv3_small_100	2022-12-16
lcnet_050.ra2_in1k	594.4K	43.5M	224	True	1280	1000	imagenet-1k	MobileNetV3	lcnet_050	2022-12-16
mobilenetv3_small_075.lamb_in1k	1.0M	42.4M	224	True	1024	1000	imagenet-1k	MobileNetV3	mobilenetv3_small_075	2022-12-16
mobilenetv3_small_050.lamb_in1k	561.7K	23.2M	224	True	1024	1000	imagenet-1k	MobileNetV3	mobilenetv3_small_050	2022-12-16

MultiScaleVit

4 models with model class MultiScaleVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
mvitv2_large.fb_in1k	217.6M	40.6G	224	True	1152	1000	imagenet-1k	MultiScaleVit	mvitv2_large	2023-04-13
mvitv2_base.fb_in1k	51.2M	8.9G	224	True	768	1000	imagenet-1k	MultiScaleVit	mvitv2_base	2023-04-13
mvitv2_small.fb_in1k	34.7M	6.1G	224	True	768	1000	imagenet-1k	MultiScaleVit	mvitv2_small	2023-04-13
mvitv2_tiny.fb_in1k	24.1M	4.0G	224	True	768	1000	imagenet-1k	MultiScaleVit	mvitv2_tiny	2023-04-13

NASNetALarge

1 model with model class NASNetALarge.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
nasnetalarge.tf_in1k	88.6M	23.8G	331	True	4032	1000	imagenet-1k	NASNetALarge	nasnetalarge	2023-04-26

Nest

3 models with model class Nest.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
nest_base_jx.goog_in1k	67.0M	16.7G	224	True	512	1000	imagenet-1k	Nest	nest_base_jx	2023-04-24
nest_small_jx.goog_in1k	37.8M	9.4G	224	True	384	1000	imagenet-1k	Nest	nest_small_jx	2023-04-24
nest_tiny_jx.goog_in1k	16.5M	5.2G	224	True	384	1000	imagenet-1k	Nest	nest_tiny_jx	2023-04-24

NextViT

12 models with model class NextViT.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
nextvit_large.bd_ssld_6m_in1k_384	57.9M	31.6G	384	True	1024	1000	imagenet-1k	NextViT	nextvit_large	2024-02-11
nextvit_large.bd_in1k_384	57.9M	31.6G	384	True	1024	1000	imagenet-1k	NextViT	nextvit_large	2024-02-11
nextvit_base.bd_ssld_6m_in1k_384	44.8M	24.3G	384	True	1024	1000	imagenet-1k	NextViT	nextvit_base	2024-02-11
nextvit_base.bd_in1k_384	44.8M	24.3G	384	True	1024	1000	imagenet-1k	NextViT	nextvit_base	2024-02-11
nextvit_small.bd_ssld_6m_in1k_384	31.8M	17.0G	384	True	1024	1000	imagenet-1k	NextViT	nextvit_small	2024-02-11
nextvit_small.bd_in1k_384	31.8M	17.0G	384	True	1024	1000	imagenet-1k	NextViT	nextvit_small	2024-02-11
nextvit_large.bd_ssld_6m_in1k	57.9M	10.7G	224	True	1024	1000	imagenet-1k	NextViT	nextvit_large	2024-02-11
nextvit_large.bd_in1k	57.9M	10.7G	224	True	1024	1000	imagenet-1k	NextViT	nextvit_large	2024-02-11
nextvit_base.bd_ssld_6m_in1k	44.8M	8.3G	224	True	1024	1000	imagenet-1k	NextViT	nextvit_base	2024-02-11
nextvit_base.bd_in1k	44.8M	8.3G	224	True	1024	1000	imagenet-1k	NextViT	nextvit_base	2024-02-11
nextvit_small.bd_ssld_6m_in1k	31.8M	5.8G	224	True	1024	1000	imagenet-1k	NextViT	nextvit_small	2024-02-11
nextvit_small.bd_in1k	31.8M	5.8G	224	True	1024	1000	imagenet-1k	NextViT	nextvit_small	2024-02-11

NormFreeNet

11 models with model class NormFreeNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
dm_nfnet_f3.dm_in1k	90.5M	91.4M	320	True	3072	1000	imagenet-1k	NormFreeNet	dm_nfnet_f3	2023-03-24
dm_nfnet_f2.dm_in1k	68.6M	69.2M	256	True	3072	1000	imagenet-1k	NormFreeNet	dm_nfnet_f2	2023-03-24
dm_nfnet_f1.dm_in1k	46.8M	47.2M	224	True	3072	1000	imagenet-1k	NormFreeNet	dm_nfnet_f1	2023-03-24
dm_nfnet_f0.dm_in1k	24.9M	25.3M	192	True	3072	1000	imagenet-1k	NormFreeNet	dm_nfnet_f0	2023-03-24
nfnet_l0.ra2_in1k	13.2M	13.7M	224	True	2304	1000	imagenet-1k	NormFreeNet	nfnet_l0	2023-03-24
nf_regnet_b1.ra2_in1k	5.3M	5.6M	256	True	960	1000	imagenet-1k	NormFreeNet	nf_regnet_b1	2023-03-24
eca_nfnet_l2.ra3_in1k	3.1M	4.4M	320	True	3072	1000	imagenet-1k	NormFreeNet	eca_nfnet_l2	2023-03-24
eca_nfnet_l1.ra2_in1k	3.1M	3.9M	256	True	3072	1000	imagenet-1k	NormFreeNet	eca_nfnet_l1	2023-03-24
eca_nfnet_l0.ra2_in1k	2.3M	2.9M	224	True	2304	1000	imagenet-1k	NormFreeNet	eca_nfnet_l0	2023-03-24
nf_resnet50.ra2_in1k	2.0M	2.6M	256	True	2048	1000	imagenet-1k	NormFreeNet	nf_resnet50	2023-03-24
test_nfnet.r160_in1k	208.8K	234.0K	160	True	192	1000	imagenet-1k	NormFreeNet	test_nfnet	2024-09-22

PNASNet5Large

1 model with model class PNASNet5Large.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
pnasnet5large.tf_in1k	84.9M	24.8G	331	True	4320	1000	imagenet-1k	PNASNet5Large	pnasnet5large	2023-04-26

PoolingVisionTransformer

4 models with model class PoolingVisionTransformer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
pit_b_224.in1k	73.5M	10.6G	224	True	1024	1000	imagenet-1k	PoolingVisionTransformer	pit_b_224	2023-04-26
pit_s_224.in1k	23.4M	2.4G	224	True	576	1000	imagenet-1k	PoolingVisionTransformer	pit_s_224	2023-04-26
pit_xs_224.in1k	10.5M	1.1G	224	True	384	1000	imagenet-1k	PoolingVisionTransformer	pit_xs_224	2023-04-26
pit_ti_224.in1k	4.8M	500.3M	224	True	256	1000	imagenet-1k	PoolingVisionTransformer	pit_ti_224	2023-04-26

PyramidVisionTransformerV2

6 models with model class PyramidVisionTransformerV2.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
pvt_v2_b5.in1k	81.9M	11.4G	224	True	512	1000	imagenet-1k	PyramidVisionTransformerV2	pvt_v2_b5	2023-04-25
pvt_v2_b4.in1k	62.5M	9.8G	224	True	512	1000	imagenet-1k	PyramidVisionTransformerV2	pvt_v2_b4	2023-04-25
pvt_v2_b3.in1k	45.2M	6.7G	224	True	512	1000	imagenet-1k	PyramidVisionTransformerV2	pvt_v2_b3	2023-04-25
pvt_v2_b2.in1k	25.3M	3.9G	224	True	512	1000	imagenet-1k	PyramidVisionTransformerV2	pvt_v2_b2	2023-04-25
pvt_v2_b1.in1k	14.0M	2.0G	224	True	512	1000	imagenet-1k	PyramidVisionTransformerV2	pvt_v2_b1	2023-04-25
pvt_v2_b0.in1k	3.7M	528.8M	224	True	256	1000	imagenet-1k	PyramidVisionTransformerV2	pvt_v2_b0	2023-04-25

RegNet

60 models with model class RegNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
regnety_640.seer_ft_in1k	281.2M	188.2G	384	True	4920	1000	imagenet-1k	RegNet	regnety_640	2023-03-21
regnety_320.swag_ft_in1k	144.9M	94.8G	384	True	3712	1000	imagenet-1k	RegNet	regnety_320	2023-03-21
regnety_320.seer_ft_in1k	144.9M	94.8G	384	True	3712	1000	imagenet-1k	RegNet	regnety_320	2023-03-21
regnety_640.seer	276.2M	64.1G	224	False	4920	4920		RegNet	regnety_640	2023-03-21
regnety_160.swag_ft_in1k	83.5M	46.7G	384	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_320.tv2_in1k	144.9M	32.3G	224	True	3712	1000	imagenet-1k	RegNet	regnety_320	2023-03-21
regnety_320.swag_lc_in1k	144.9M	32.3G	224	True	3712	1000	imagenet-1k	RegNet	regnety_320	2023-03-21
regnety_320.pycls_in1k	144.9M	32.3G	224	True	3712	1000	imagenet-1k	RegNet	regnety_320	2023-03-21
regnety_320.seer	141.2M	32.3G	224	False	3712	3712		RegNet	regnety_320	2023-03-21
regnetx_320.tv2_in1k	107.6M	31.7G	224	True	2520	1000	imagenet-1k	RegNet	regnetx_320	2023-03-21
regnetx_320.pycls_in1k	107.6M	31.7G	224	True	2520	1000	imagenet-1k	RegNet	regnetx_320	2023-03-21
regnety_160.sw_in12k	116.2M	15.9G	224	True	3024	11821	imagenet-12k	RegNet	regnety_160	2023-03-21
regnetx_160.tv2_in1k	54.2M	15.9G	224	True	2048	1000	imagenet-1k	RegNet	regnetx_160	2023-03-21
regnetx_160.pycls_in1k	54.2M	15.9G	224	True	2048	1000	imagenet-1k	RegNet	regnetx_160	2023-03-21
regnety_160.tv2_in1k	83.5M	15.9G	224	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_160.swag_lc_in1k	83.5M	15.9G	224	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_160.sw_in12k_ft_in1k	83.5M	15.9G	224	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_160.pycls_in1k	83.5M	15.9G	224	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_160.lion_in12k_ft_in1k	83.5M	15.9G	224	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_160.deit_in1k	83.5M	15.9G	224	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_120.sw_in12k	76.0M	12.1G	224	True	2240	11821	imagenet-12k	RegNet	regnety_120	2023-03-21
regnety_120.sw_in12k_ft_in1k	51.7M	12.1G	224	True	2240	1000	imagenet-1k	RegNet	regnety_120	2023-03-21
regnety_120.pycls_in1k	51.7M	12.1G	224	True	2240	1000	imagenet-1k	RegNet	regnety_120	2023-03-21
regnetx_120.pycls_in1k	46.0M	12.1G	224	True	2240	1000	imagenet-1k	RegNet	regnetx_120	2023-03-21
regnety_080_tv.tv2_in1k	39.3M	8.5G	224	True	2016	1000	imagenet-1k	RegNet	regnety_080_tv	2023-03-21
regnetx_080.tv2_in1k	39.5M	8.0G	224	True	1920	1000	imagenet-1k	RegNet	regnetx_080	2023-03-21
regnetx_080.pycls_in1k	39.5M	8.0G	224	True	1920	1000	imagenet-1k	RegNet	regnetx_080	2023-03-21
regnety_080.ra3_in1k	39.1M	8.0G	224	True	2016	1000	imagenet-1k	RegNet	regnety_080	2023-03-21
regnety_080.pycls_in1k	39.1M	8.0G	224	True	2016	1000	imagenet-1k	RegNet	regnety_080	2023-03-21
regnetx_064.pycls_in1k	26.1M	6.5G	224	True	1624	1000	imagenet-1k	RegNet	regnetx_064	2023-03-21
regnetv_064.ra3_in1k	30.5M	6.4G	224	True	1296	1000	imagenet-1k	RegNet	regnetv_064	2023-03-21
regnety_064.ra3_in1k	30.5M	6.4G	224	True	1296	1000	imagenet-1k	RegNet	regnety_064	2023-03-21
regnety_064.pycls_in1k	30.5M	6.4G	224	True	1296	1000	imagenet-1k	RegNet	regnety_064	2023-03-21
regnetz_040_h.ra3_in1k	28.8M	4.1G	256	True	1536	1000	imagenet-1k	RegNet	regnetz_040_h	2023-03-21
regnetz_040.ra3_in1k	27.0M	4.0G	256	True	528	1000	imagenet-1k	RegNet	regnetz_040	2023-03-21
regnety_040.ra3_in1k	20.6M	4.0G	224	True	1088	1000	imagenet-1k	RegNet	regnety_040	2023-03-21
regnety_040.pycls_in1k	20.6M	4.0G	224	True	1088	1000	imagenet-1k	RegNet	regnety_040	2023-03-21
regnetv_040.ra3_in1k	20.6M	4.0G	224	True	1088	1000	imagenet-1k	RegNet	regnetv_040	2023-03-21
regnetx_040.pycls_in1k	22.0M	4.0G	224	True	1360	1000	imagenet-1k	RegNet	regnetx_040	2023-03-21
regnetx_032.tv2_in1k	15.2M	3.2G	224	True	1008	1000	imagenet-1k	RegNet	regnetx_032	2023-03-21
regnetx_032.pycls_in1k	15.2M	3.2G	224	True	1008	1000	imagenet-1k	RegNet	regnetx_032	2023-03-21
regnety_032.tv2_in1k	19.4M	3.2G	224	True	1512	1000	imagenet-1k	RegNet	regnety_032	2023-03-21
regnety_032.ra_in1k	19.4M	3.2G	224	True	1512	1000	imagenet-1k	RegNet	regnety_032	2023-03-21
regnety_032.pycls_in1k	19.4M	3.2G	224	True	1512	1000	imagenet-1k	RegNet	regnety_032	2023-03-21
regnety_016.tv2_in1k	11.1M	1.6G	224	True	888	1000	imagenet-1k	RegNet	regnety_016	2023-03-21
regnety_016.pycls_in1k	11.1M	1.6G	224	True	888	1000	imagenet-1k	RegNet	regnety_016	2023-03-21
regnetx_016.tv2_in1k	9.1M	1.6G	224	True	912	1000	imagenet-1k	RegNet	regnetx_016	2023-03-21
regnetx_016.pycls_in1k	9.1M	1.6G	224	True	912	1000	imagenet-1k	RegNet	regnetx_016	2023-03-21
regnety_008_tv.tv2_in1k	6.4M	833.9M	224	True	784	1000	imagenet-1k	RegNet	regnety_008_tv	2023-03-21
regnetx_008.tv2_in1k	7.2M	799.7M	224	True	672	1000	imagenet-1k	RegNet	regnetx_008	2023-03-21
regnetx_008.pycls_in1k	7.2M	799.7M	224	True	672	1000	imagenet-1k	RegNet	regnetx_008	2023-03-21
regnety_008.pycls_in1k	6.2M	797.2M	224	True	768	1000	imagenet-1k	RegNet	regnety_008	2023-03-21
regnety_006.pycls_in1k	6.0M	601.3M	224	True	608	1000	imagenet-1k	RegNet	regnety_006	2023-03-21
regnetx_006.pycls_in1k	6.2M	600.9M	224	True	528	1000	imagenet-1k	RegNet	regnetx_006	2023-03-21
regnetx_004_tv.tv2_in1k	5.5M	413.8M	224	True	400	1000	imagenet-1k	RegNet	regnetx_004_tv	2023-03-21
regnety_004.tv2_in1k	4.3M	401.9M	224	True	440	1000	imagenet-1k	RegNet	regnety_004	2023-03-21
regnety_004.pycls_in1k	4.3M	401.9M	224	True	440	1000	imagenet-1k	RegNet	regnety_004	2023-03-21
regnetx_004.pycls_in1k	5.1M	397.7M	224	True	384	1000	imagenet-1k	RegNet	regnetx_004	2023-03-21
regnety_002.pycls_in1k	3.1M	199.5M	224	True	368	1000	imagenet-1k	RegNet	regnety_002	2023-03-21
regnetx_002.pycls_in1k	2.7M	199.1M	224	True	368	1000	imagenet-1k	RegNet	regnetx_002	2023-03-21

RepGhostNet

8 models with model class RepGhostNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
repghostnet_200.in1k	8.5M	559.5M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_200	2023-08-20
repghostnet_150.in1k	5.3M	333.9M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_150	2023-08-20
repghostnet_130.in1k	4.2M	259.4M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_130	2023-08-20
repghostnet_111.in1k	3.3M	193.6M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_111	2023-08-20
repghostnet_100.in1k	2.8M	163.6M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_100	2023-08-20
repghostnet_080.in1k	2.0M	112.4M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_080	2023-08-20
repghostnet_058.in1k	1.3M	73.1M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_058	2023-08-20
repghostnet_050.in1k	1.0M	53.4M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_050	2023-08-20

RepVit

13 models with model class RepVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
repvit_m2_3.dist_450e_in1k	23.7M	4.6G	224	True	640	1000	imagenet-1k	RepVit	repvit_m2_3	2023-10-21
repvit_m2_3.dist_300e_in1k	23.7M	4.6G	224	True	640	1000	imagenet-1k	RepVit	repvit_m2_3	2023-10-21
repvit_m1_5.dist_450e_in1k	14.6M	2.3G	224	True	512	1000	imagenet-1k	RepVit	repvit_m1_5	2023-10-21
repvit_m1_5.dist_300e_in1k	14.6M	2.3G	224	True	512	1000	imagenet-1k	RepVit	repvit_m1_5	2023-10-21
repvit_m3.dist_in1k	10.7M	1.9G	224	True	512	1000	imagenet-1k	RepVit	repvit_m3	2023-08-26
repvit_m1_1.dist_450e_in1k	8.8M	1.4G	224	True	512	1000	imagenet-1k	RepVit	repvit_m1_1	2023-10-21
repvit_m1_1.dist_300e_in1k	8.8M	1.4G	224	True	512	1000	imagenet-1k	RepVit	repvit_m1_1	2023-10-21
repvit_m2.dist_in1k	8.8M	1.4G	224	True	512	1000	imagenet-1k	RepVit	repvit_m2	2023-08-26
repvit_m1_0.dist_450e_in1k	7.3M	1.1G	224	True	448	1000	imagenet-1k	RepVit	repvit_m1_0	2023-10-21
repvit_m1_0.dist_300e_in1k	7.3M	1.1G	224	True	448	1000	imagenet-1k	RepVit	repvit_m1_0	2023-10-21
repvit_m0_9.dist_450e_in1k	5.5M	847.1M	224	True	384	1000	imagenet-1k	RepVit	repvit_m0_9	2023-10-21
repvit_m0_9.dist_300e_in1k	5.5M	847.1M	224	True	384	1000	imagenet-1k	RepVit	repvit_m0_9	2023-10-21
repvit_m1.dist_in1k	5.5M	847.1M	224	True	384	1000	imagenet-1k	RepVit	repvit_m1	2023-08-26

ResNet

168 models with model class ResNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	149.4M	101.5G	384	True	2048	1000	imagenet-1k	ResNet	seresnextaa201d_32x8d	2023-07-27
resnest269e.in1k	110.9M	78.0G	416	True	2048	1000	imagenet-1k	ResNet	resnest269e	2023-04-24
seresnextaa201d_32x8d.sw_in12k	171.6M	70.5G	320	True	2048	11821	imagenet-12k	ResNet	seresnextaa201d_32x8d	2023-07-27
resnetrs420.tf_in1k	191.9M	64.4G	320	True	2048	1000	imagenet-1k	ResNet	resnetrs420	2023-04-06
resnetrs350.tf_in1k	164.0M	43.8G	288	True	2048	1000	imagenet-1k	ResNet	resnetrs350	2023-04-06
ecaresnet269d.ra2_in1k	102.1M	41.7G	320	True	2048	1000	imagenet-1k	ResNet	ecaresnet269d	2023-04-06
resnext101_32x16d.fb_wsl_ig1b_ft_in1k	194.0M	36.4G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x16d	2023-04-06
resnext101_32x16d.fb_swsl_ig1b_ft_in1k	194.0M	36.4G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x16d	2023-04-06
resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	194.0M	36.4G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x16d	2023-04-06
resnest200e.in1k	70.2M	35.9G	320	True	2048	1000	imagenet-1k	ResNet	resnest200e	2023-04-24
seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	93.6M	28.6G	288	True	2048	1000	imagenet-1k	ResNet	seresnextaa101d_32x8d	2023-04-06
resnetrs270.tf_in1k	129.9M	27.2G	256	True	2048	1000	imagenet-1k	ResNet	resnetrs270	2023-04-06
wide_resnet101_2.tv_in1k	126.9M	22.8G	224	True	2048	1000	imagenet-1k	ResNet	wide_resnet101_2	2023-04-06
senet154.gluon_in1k	115.1M	20.8G	224	True	2048	1000	imagenet-1k	ResNet	senet154	2023-04-06
resnetrs200.tf_in1k	93.2M	20.3G	256	True	2048	1000	imagenet-1k	ResNet	resnetrs200	2023-04-06
resnet200d.ra2_in1k	64.7M	20.1G	256	True	2048	1000	imagenet-1k	ResNet	resnet200d	2023-04-06
seresnextaa101d_32x8d.sw_in12k	115.8M	17.3G	224	True	2048	11821	imagenet-12k	ResNet	seresnextaa101d_32x8d	2023-04-06
seresnextaa101d_32x8d.sw_in12k_ft_in1k	93.6M	17.3G	224	True	2048	1000	imagenet-1k	ResNet	seresnextaa101d_32x8d	2023-04-06
seresnextaa101d_32x8d.ah_in1k	93.6M	17.3G	224	True	2048	1000	imagenet-1k	ResNet	seresnextaa101d_32x8d	2023-04-06
seresnext101d_32x8d.ah_in1k	93.6M	16.8G	224	True	2048	1000	imagenet-1k	ResNet	seresnext101d_32x8d	2023-04-06
seresnext101_32x8d.ah_in1k	93.6M	16.5G	224	True	2048	1000	imagenet-1k	ResNet	seresnext101_32x8d	2023-04-06
resnext101_32x8d.tv_in1k	88.8M	16.5G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x8d	2023-04-06
resnext101_32x8d.fb_wsl_ig1b_ft_in1k	88.8M	16.5G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x8d	2023-04-06
resnext101_32x8d.fb_swsl_ig1b_ft_in1k	88.8M	16.5G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x8d	2023-04-06
resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	88.8M	16.5G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x8d	2023-04-06
resnetrs152.tf_in1k	86.6M	15.7G	256	True	2048	1000	imagenet-1k	ResNet	resnetrs152	2023-04-06
seresnext101_64x4d.gluon_in1k	88.2M	15.6G	224	True	2048	1000	imagenet-1k	ResNet	seresnext101_64x4d	2023-04-06
resnext101_64x4d.tv_in1k	83.5M	15.6G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_64x4d	2023-04-06
resnext101_64x4d.gluon_in1k	83.5M	15.6G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_64x4d	2023-04-06
resnext101_64x4d.c1_in1k	83.5M	15.6G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_64x4d	2023-04-06
seresnet152d.ra2_in1k	66.8M	15.5G	256	True	2048	1000	imagenet-1k	ResNet	seresnet152d	2023-04-06
resnet152d.ra2_in1k	60.2M	15.5G	256	True	2048	1000	imagenet-1k	ResNet	resnet152d	2023-04-06
wide_resnet101_2.tv2_in1k	126.9M	14.3G	176	True	2048	1000	imagenet-1k	ResNet	wide_resnet101_2	2023-04-06
resnest101e.in1k	48.3M	13.4G	256	True	2048	1000	imagenet-1k	ResNet	resnest101e	2023-04-24
resnet152s.gluon_in1k	60.3M	13.0G	224	True	2048	1000	imagenet-1k	ResNet	resnet152s	2023-04-06
resnet152d.gluon_in1k	60.2M	11.8G	224	True	2048	1000	imagenet-1k	ResNet	resnet152d	2023-04-06
resnet152c.gluon_in1k	60.2M	11.8G	224	True	2048	1000	imagenet-1k	ResNet	resnet152c	2023-04-06
resnet152.tv_in1k	60.2M	11.6G	224	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
resnet152.gluon_in1k	60.2M	11.6G	224	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
resnet152.a2_in1k	60.2M	11.6G	224	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
resnet152.a1h_in1k	60.2M	11.6G	224	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
resnet152.a1_in1k	60.2M	11.6G	224	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
wide_resnet50_2.tv_in1k	68.9M	11.5G	224	True	2048	1000	imagenet-1k	ResNet	wide_resnet50_2	2023-04-06
wide_resnet50_2.racm_in1k	68.9M	11.5G	224	True	2048	1000	imagenet-1k	ResNet	wide_resnet50_2	2023-04-06
resnet101d.ra2_in1k	44.6M	10.6G	256	True	2048	1000	imagenet-1k	ResNet	resnet101d	2023-04-06
resnext101_32x8d.tv2_in1k	88.8M	10.4G	176	True	2048	1000	imagenet-1k	ResNet	resnext101_32x8d	2023-04-06
resnet101s.gluon_in1k	44.7M	9.2G	224	True	2048	1000	imagenet-1k	ResNet	resnet101s	2023-04-06
resnetaa101d.sw_in12k	66.7M	9.2G	224	True	2048	11821	imagenet-12k	ResNet	resnetaa101d	2023-04-06
resnetaa101d.sw_in12k_ft_in1k	44.6M	9.2G	224	True	2048	1000	imagenet-1k	ResNet	resnetaa101d	2023-04-06
res2net50_26w_8s.in1k	48.4M	8.4G	224	True	2048	1000	imagenet-1k	ResNet	res2net50_26w_8s	2023-04-24
res2net101d.in1k	45.2M	8.4G	224	True	2048	1000	imagenet-1k	ResNet	res2net101d	2023-04-24
res2net101_26w_4s.in1k	45.2M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	res2net101_26w_4s	2023-04-24
ecaresnet101d.miil_in1k	44.6M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	ecaresnet101d	2023-04-06
resnet101d.gluon_in1k	44.6M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet101d	2023-04-06
resnet101c.gluon_in1k	44.6M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet101c	2023-04-06
seresnext101_32x4d.gluon_in1k	49.0M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	seresnext101_32x4d	2023-04-06
resnext101_32x4d.gluon_in1k	44.2M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x4d	2023-04-06
resnext101_32x4d.fb_swsl_ig1b_ft_in1k	44.2M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x4d	2023-04-06
resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	44.2M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x4d	2023-04-06
resnet101.tv_in1k	44.5M	7.9G	224	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
resnet101.gluon_in1k	44.5M	7.9G	224	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
resnet101.a2_in1k	44.5M	7.9G	224	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
resnet101.a1h_in1k	44.5M	7.9G	224	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
resnet101.a1_in1k	44.5M	7.9G	224	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
wide_resnet50_2.tv2_in1k	68.9M	7.3G	176	True	2048	1000	imagenet-1k	ResNet	wide_resnet50_2	2023-04-06
resnet152.tv2_in1k	60.2M	7.2G	176	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
res2net50_26w_6s.in1k	37.1M	6.4G	224	True	2048	1000	imagenet-1k	ResNet	res2net50_26w_6s	2023-04-24
resnetrs101.tf_in1k	63.6M	6.1G	192	True	2048	1000	imagenet-1k	ResNet	resnetrs101	2023-04-06
resnet152.a3_in1k	60.2M	5.9G	160	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
ecaresnet50t.ra2_in1k	25.6M	5.7G	256	True	2048	1000	imagenet-1k	ResNet	ecaresnet50t	2023-04-06
resnet50s.gluon_in1k	25.7M	5.5G	224	True	2048	1000	imagenet-1k	ResNet	resnet50s	2023-04-06
resnetaa50d.sw_in12k	47.7M	5.4G	224	True	2048	11821	imagenet-12k	ResNet	resnetaa50d	2023-04-06
resnetaa50d.d_in12k	47.7M	5.4G	224	True	2048	11821	imagenet-12k	ResNet	resnetaa50d	2023-04-06
resnest50d.in1k	27.5M	5.4G	224	True	2048	1000	imagenet-1k	ResNet	resnest50d	2023-04-24
resnetaa50d.sw_in12k_ft_in1k	25.6M	5.4G	224	True	2048	1000	imagenet-1k	ResNet	resnetaa50d	2023-04-06
resnetaa50.a1h_in1k	25.6M	5.2G	224	True	2048	1000	imagenet-1k	ResNet	resnetaa50	2023-04-06
resnetblur50.bt_in1k	25.6M	5.2G	224	True	2048	1000	imagenet-1k	ResNet	resnetblur50	2023-04-06
resnet101.tv2_in1k	44.5M	4.9G	176	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
res2net50d.in1k	25.7M	4.5G	224	True	2048	1000	imagenet-1k	ResNet	res2net50d	2023-04-24
resnext50d_32x4d.bt_in1k	25.0M	4.5G	224	True	2048	1000	imagenet-1k	ResNet	resnext50d_32x4d	2023-04-06
skresnext50_32x4d.ra_in1k	27.4M	4.5G	224	True	2048	1000	imagenet-1k	ResNet	skresnext50_32x4d	2023-04-24
resnest50d_1s4x24d.in1k	25.7M	4.5G	224	True	2048	1000	imagenet-1k	ResNet	resnest50d_1s4x24d	2023-04-24
resnest50d_4s2x40d.in1k	30.4M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnest50d_4s2x40d	2023-04-24
ecaresnet50d.miil_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	ecaresnet50d	2023-04-06
resnet50d.ra4_e3600_r224_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet50d	2024-08-17
resnet50d.ra2_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet50d	2023-04-06
resnet50d.gluon_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet50d	2023-04-06
resnet50d.a2_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet50d	2023-04-06
resnet50d.a1_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet50d	2023-04-06
resnet50c.gluon_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet50c	2023-04-06
ecaresnet50t.a2_in1k	25.6M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	ecaresnet50t	2023-04-06
ecaresnet50t.a1_in1k	25.6M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	ecaresnet50t	2023-04-06
res2net50_26w_4s.in1k	25.7M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	res2net50_26w_4s	2023-04-24
seresnext50_32x4d.racm_in1k	27.6M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	seresnext50_32x4d	2023-04-06
seresnext50_32x4d.gluon_in1k	27.6M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	seresnext50_32x4d	2023-04-06
resnext50_32x4d.tv_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.ra_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.gluon_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.fb_swsl_ig1b_ft_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.a2_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.a1h_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.a1_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
res2net50_14w_8s.in1k	25.1M	4.2G	224	True	2048	1000	imagenet-1k	ResNet	res2net50_14w_8s	2023-04-24
res2next50.in1k	24.7M	4.2G	224	True	2048	1000	imagenet-1k	ResNet	res2next50	2023-04-24
res2net50_48w_2s.in1k	25.3M	4.2G	224	True	2048	1000	imagenet-1k	ResNet	res2net50_48w_2s	2023-04-24
seresnet50.ra2_in1k	28.1M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	seresnet50	2023-04-06
seresnet50.a2_in1k	28.1M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	seresnet50	2023-04-06
seresnet50.a1_in1k	28.1M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	seresnet50	2023-04-06
resnet50.tv_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.ram_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.ra_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.gluon_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.fb_swsl_ig1b_ft_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.fb_ssl_yfcc100m_ft_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.d_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.c2_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.c1_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.bt_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.b2k_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.b1k_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.am_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.a2_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.a1_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
ecaresnetlight.miil_in1k	30.2M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	ecaresnetlight	2023-04-06
resnet50_gn.a1h_in1k	25.5M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50_gn	2023-04-06
resnet101.a3_in1k	44.5M	4.0G	160	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
resnet34d.ra2_in1k	21.8M	3.9G	224	True	512	1000	imagenet-1k	ResNet	resnet34d	2023-04-06
resnet34.ra4_e3600_r224_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNet	resnet34	2024-11-01
resnet34.tv_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNet	resnet34	2023-04-06
resnet34.gluon_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNet	resnet34	2023-04-06
resnet34.bt_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNet	resnet34	2023-04-06
resnet34.a2_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNet	resnet34	2023-04-06
resnet34.a1_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNet	resnet34	2023-04-06
skresnet34.ra_in1k	22.3M	3.7G	224	True	512	1000	imagenet-1k	ResNet	skresnet34	2023-04-24
resnest26d.gluon_in1k	17.1M	3.7G	224	True	2048	1000	imagenet-1k	ResNet	resnest26d	2023-04-24
ecaresnet101d_pruned.miil_in1k	22.8M	3.5G	224	True	2042	1000	imagenet-1k	ResNet	ecaresnet101d_pruned	2023-04-06
ecaresnet26t.ra2_in1k	16.0M	3.4G	256	True	2048	1000	imagenet-1k	ResNet	ecaresnet26t	2023-04-06
resnet26t.ra2_in1k	16.0M	3.4G	256	True	2048	1000	imagenet-1k	ResNet	resnet26t	2023-04-06
resnest14d.gluon_in1k	10.6M	2.8G	224	True	2048	1000	imagenet-1k	ResNet	resnest14d	2023-04-24
seresnext26d_32x4d.bt_in1k	16.8M	2.8G	224	True	2048	1000	imagenet-1k	ResNet	seresnext26d_32x4d	2023-04-06
resnext50_32x4d.tv2_in1k	25.0M	2.7G	176	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
seresnext26t_32x4d.bt_in1k	16.8M	2.7G	224	True	2048	1000	imagenet-1k	ResNet	seresnext26t_32x4d	2023-04-06
resnet50.tv2_in1k	25.6M	2.6G	176	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.a1h_in1k	25.6M	2.6G	176	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet26d.bt_in1k	16.0M	2.6G	224	True	2048	1000	imagenet-1k	ResNet	resnet26d	2023-04-06
ecaresnet50d_pruned.miil_in1k	17.9M	2.5G	224	True	2022	1000	imagenet-1k	ResNet	ecaresnet50d_pruned	2023-04-06
resnet26.bt_in1k	16.0M	2.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet26	2023-04-06
resnetrs50.tf_in1k	35.7M	2.3G	160	True	2048	1000	imagenet-1k	ResNet	resnetrs50	2023-04-06
resnet50d.a3_in1k	25.6M	2.2G	160	True	2048	1000	imagenet-1k	ResNet	resnet50d	2023-04-06
ecaresnet50t.a3_in1k	25.6M	2.2G	160	True	2048	1000	imagenet-1k	ResNet	ecaresnet50t	2023-04-06
resnext50_32x4d.a3_in1k	25.0M	2.2G	160	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
seresnet50.a3_in1k	28.1M	2.1G	160	True	2048	1000	imagenet-1k	ResNet	seresnet50	2023-04-06
resnet50.a3_in1k	25.6M	2.1G	160	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet18d.ra4_e3600_r224_in1k	11.7M	2.1G	224	True	512	1000	imagenet-1k	ResNet	resnet18d	2024-11-01
resnet18d.ra2_in1k	11.7M	2.1G	224	True	512	1000	imagenet-1k	ResNet	resnet18d	2023-04-06
resnet34.a3_in1k	21.8M	1.9G	160	True	512	1000	imagenet-1k	ResNet	resnet34	2023-04-06
resnet18.tv_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
resnet18.gluon_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
resnet18.fb_swsl_ig1b_ft_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
resnet18.fb_ssl_yfcc100m_ft_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
resnet18.a2_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
resnet18.a1_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
skresnet18.ra_in1k	11.9M	1.8G	224	True	512	1000	imagenet-1k	ResNet	skresnet18	2023-04-24
resnet14t.c3_in1k	10.1M	1.1G	176	True	2048	1000	imagenet-1k	ResNet	resnet14t	2023-04-06
resnet18.a3_in1k	11.7M	930.9M	160	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
resnet10t.c3_in1k	5.4M	704.8M	176	True	512	1000	imagenet-1k	ResNet	resnet10t	2023-04-06
test_resnet.r160_in1k	469.7K	105.1M	160	True	96	1000	imagenet-1k	ResNet	test_resnet	2024-09-22

ResNetV2

18 models with model class ResNetV2.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
resnetv2_34d.ra4_e3600_r384_in1k	21.8M	11.5G	384	True	512	1000	imagenet-1k	ResNetV2	resnetv2_34d	2024-11-18
resnetv2_101.a1h_in1k	44.4M	7.8G	224	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_101	2023-03-23
resnetv2_50d_gn.ah_in1k	25.5M	4.3G	224	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_50d_gn	2023-03-23
resnetv2_50d_evos.ah_in1k	25.5M	4.3G	224	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_50d_evos	2023-03-23
resnetv2_50.a1h_in1k	25.5M	4.1G	224	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_50	2023-03-23
resnetv2_34d.ra4_e3600_r224_in1k	21.8M	3.9G	224	True	512	1000	imagenet-1k	ResNetV2	resnetv2_34d	2024-11-01
resnetv2_34.ra4_e3600_r224_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNetV2	resnetv2_34	2024-11-01
resnetv2_18d.ra4_e3600_r224_in1k	11.7M	2.1G	224	True	512	1000	imagenet-1k	ResNetV2	resnetv2_18d	2024-11-01
resnetv2_18.ra4_e3600_r224_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNetV2	resnetv2_18	2024-11-01
resnetv2_101x1_bit.goog_in21k	44.8M	44.8M	224	True	2048	21843	imagenet-21k-goog	ResNetV2	resnetv2_101x1_bit	2023-03-23
resnetv2_50x1_bit.goog_in21k	44.8M	44.8M	224	True	2048	21843	imagenet-21k-goog	ResNetV2	resnetv2_50x1_bit	2023-03-23
resnetv2_50x3_bit.goog_in21k_ft_in1k	6.1M	7.4M	448	True	6144	1000	imagenet-1k	ResNetV2	resnetv2_50x3_bit	2023-03-23
resnetv2_152x2_bit.goog_in21k_ft_in1k	4.1M	4.9M	448	True	4096	1000	imagenet-1k	ResNetV2	resnetv2_152x2_bit	2023-03-23
resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	4.1M	4.7M	384	True	4096	1000	imagenet-1k	ResNetV2	resnetv2_152x2_bit	2023-03-23
resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	4.1M	4.3M	224	True	4096	1000	imagenet-1k	ResNetV2	resnetv2_152x2_bit	2023-03-23
resnetv2_101x1_bit.goog_in21k_ft_in1k	2.0M	2.5M	448	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_101x1_bit	2023-03-23
resnetv2_50x1_bit.goog_in21k_ft_in1k	2.0M	2.5M	448	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_50x1_bit	2023-03-23
resnetv2_50x1_bit.goog_distilled_in1k	2.0M	2.2M	224	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_50x1_bit	2023-03-23

RexNet

9 models with model class RexNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
rexnet_300.nav_in1k	34.6M	3.4G	224	True	3840	1000	imagenet-1k	RexNet	rexnet_300	2023-03-21
rexnetr_300.sw_in12k	76.3M	3.4G	224	True	3840	11821	imagenet-12k	RexNet	rexnetr_300	2023-03-21
rexnetr_300.sw_in12k_ft_in1k	34.7M	3.3G	224	True	3840	1000	imagenet-1k	RexNet	rexnetr_300	2023-03-21
rexnetr_200.sw_in12k	44.2M	1.6G	224	True	2560	11821	imagenet-12k	RexNet	rexnetr_200	2023-03-21
rexnetr_200.sw_in12k_ft_in1k	16.4M	1.6G	224	True	2560	1000	imagenet-1k	RexNet	rexnetr_200	2023-03-21
rexnet_200.nav_in1k	16.3M	1.5G	224	True	2560	1000	imagenet-1k	RexNet	rexnet_200	2023-03-21
rexnet_150.nav_in1k	9.7M	875.9M	224	True	1920	1000	imagenet-1k	RexNet	rexnet_150	2023-03-21
rexnet_130.nav_in1k	7.5M	662.3M	224	True	1664	1000	imagenet-1k	RexNet	rexnet_130	2023-03-21
rexnet_100.nav_in1k	4.8M	398.4M	224	True	1280	1000	imagenet-1k	RexNet	rexnet_100	2023-03-21

SelecSls

3 models with model class SelecSls.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
selecsls60b.in1k	32.8M	3.6G	224	True	1024	1000	imagenet-1k	SelecSls	selecsls60b	2023-04-25
selecsls60.in1k	30.7M	3.6G	224	True	1280	1000	imagenet-1k	SelecSls	selecsls60	2023-04-25
selecsls42b.in1k	32.5M	3.0G	224	True	1024	1000	imagenet-1k	SelecSls	selecsls42b	2023-04-25

SwinTransformer

19 models with model class SwinTransformer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
swin_large_patch4_window12_384.ms_in22k	228.5M	100.3G	384	True	1536	21841	imagenet-22k	SwinTransformer	swin_large_patch4_window12_384	2023-03-18
swin_large_patch4_window12_384.ms_in22k_ft_in1k	196.4M	100.3G	384	True	1536	1000	imagenet-1k	SwinTransformer	swin_large_patch4_window12_384	2023-03-18
swin_base_patch4_window12_384.ms_in22k	109.1M	44.7G	384	True	1024	21841	imagenet-22k	SwinTransformer	swin_base_patch4_window12_384	2023-03-18
swin_base_patch4_window12_384.ms_in22k_ft_in1k	87.7M	44.7G	384	True	1024	1000	imagenet-1k	SwinTransformer	swin_base_patch4_window12_384	2023-03-18
swin_base_patch4_window12_384.ms_in1k	87.7M	44.7G	384	True	1024	1000	imagenet-1k	SwinTransformer	swin_base_patch4_window12_384	2023-03-18
swin_large_patch4_window7_224.ms_in22k	228.5M	34.1G	224	True	1536	21841	imagenet-22k	SwinTransformer	swin_large_patch4_window7_224	2023-03-18
swin_large_patch4_window7_224.ms_in22k_ft_in1k	196.4M	34.1G	224	True	1536	1000	imagenet-1k	SwinTransformer	swin_large_patch4_window7_224	2023-03-18
swin_base_patch4_window7_224.ms_in22k	109.1M	15.2G	224	True	1024	21841	imagenet-22k	SwinTransformer	swin_base_patch4_window7_224	2023-03-18
swin_base_patch4_window7_224.ms_in22k_ft_in1k	87.7M	15.2G	224	True	1024	1000	imagenet-1k	SwinTransformer	swin_base_patch4_window7_224	2023-03-18
swin_base_patch4_window7_224.ms_in1k	87.7M	15.2G	224	True	1024	1000	imagenet-1k	SwinTransformer	swin_base_patch4_window7_224	2023-03-18
swin_s3_base_224.ms_in1k	70.9M	12.7G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_s3_base_224	2023-03-18
swin_s3_small_224.ms_in1k	49.6M	8.6G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_s3_small_224	2023-03-18
swin_small_patch4_window7_224.ms_in22k	65.6M	8.6G	224	True	768	21841	imagenet-22k	SwinTransformer	swin_small_patch4_window7_224	2023-03-18
swin_small_patch4_window7_224.ms_in22k_ft_in1k	49.6M	8.5G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_small_patch4_window7_224	2023-03-18
swin_small_patch4_window7_224.ms_in1k	49.6M	8.5G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_small_patch4_window7_224	2023-03-18
swin_tiny_patch4_window7_224.ms_in22k	44.3M	4.4G	224	True	768	21841	imagenet-22k	SwinTransformer	swin_tiny_patch4_window7_224	2023-03-18
swin_s3_tiny_224.ms_in1k	28.3M	4.4G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_s3_tiny_224	2023-03-18
swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	28.3M	4.4G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_tiny_patch4_window7_224	2023-03-18
swin_tiny_patch4_window7_224.ms_in1k	28.3M	4.4G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_tiny_patch4_window7_224	2023-03-18

SwinTransformerV2

12 models with model class SwinTransformerV2.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	149.6M	77.0G	384	True	1536	1000	imagenet-1k	SwinTransformerV2	swinv2_large_window12to24_192to384	2023-03-18
swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	67.0M	34.6G	384	True	1024	1000	imagenet-1k	SwinTransformerV2	swinv2_base_window12to24_192to384	2023-03-18
swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	149.6M	34.0G	256	True	1536	1000	imagenet-1k	SwinTransformerV2	swinv2_large_window12to16_192to256	2023-03-18
swinv2_large_window12_192.ms_in22k	181.6M	19.1G	192	True	1536	21841	imagenet-22k	SwinTransformerV2	swinv2_large_window12_192	2023-03-18
swinv2_base_window16_256.ms_in1k	67.0M	15.2G	256	True	1024	1000	imagenet-1k	SwinTransformerV2	swinv2_base_window16_256	2023-03-18
swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	67.0M	15.2G	256	True	1024	1000	imagenet-1k	SwinTransformerV2	swinv2_base_window12to16_192to256	2023-03-18
swinv2_base_window8_256.ms_in1k	67.0M	15.0G	256	True	1024	1000	imagenet-1k	SwinTransformerV2	swinv2_base_window8_256	2023-03-18
swinv2_small_window16_256.ms_in1k	37.9M	8.6G	256	True	768	1000	imagenet-1k	SwinTransformerV2	swinv2_small_window16_256	2023-03-18
swinv2_base_window12_192.ms_in22k	88.3M	8.6G	192	True	1024	21841	imagenet-22k	SwinTransformerV2	swinv2_base_window12_192	2023-03-18
swinv2_small_window8_256.ms_in1k	37.9M	8.5G	256	True	768	1000	imagenet-1k	SwinTransformerV2	swinv2_small_window8_256	2023-03-18
swinv2_tiny_window16_256.ms_in1k	21.9M	4.4G	256	True	768	1000	imagenet-1k	SwinTransformerV2	swinv2_tiny_window16_256	2023-03-18
swinv2_tiny_window8_256.ms_in1k	21.9M	4.4G	256	True	768	1000	imagenet-1k	SwinTransformerV2	swinv2_tiny_window8_256	2023-03-18

SwinTransformerV2Cr

3 models with model class SwinTransformerV2Cr.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
swinv2_cr_small_ns_224.sw_in1k	49.7M	8.8G	224	True	768	1000	imagenet-1k	SwinTransformerV2Cr	swinv2_cr_small_ns_224	2023-03-18
swinv2_cr_small_224.sw_in1k	49.7M	8.8G	224	True	768	1000	imagenet-1k	SwinTransformerV2Cr	swinv2_cr_small_224	2023-03-18
swinv2_cr_tiny_ns_224.sw_in1k	28.3M	4.5G	224	True	768	1000	imagenet-1k	SwinTransformerV2Cr	swinv2_cr_tiny_ns_224	2023-03-18

TResNet

10 models with model class TResNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
tresnet_xl.miil_in1k_448	78.3M	60.6G	448	True	2656	1000	imagenet-1k	TResNet	tresnet_xl	2023-04-22
tresnet_l.miil_in1k_448	55.9M	43.5G	448	True	2432	1000	imagenet-1k	TResNet	tresnet_l	2023-04-22
tresnet_m.miil_in1k_448	31.3M	22.9G	448	True	2048	1000	imagenet-1k	TResNet	tresnet_m	2023-04-22
tresnet_xl.miil_in1k	78.3M	15.2G	224	True	2656	1000	imagenet-1k	TResNet	tresnet_xl	2023-04-22
tresnet_l.miil_in1k	55.9M	10.9G	224	True	2432	1000	imagenet-1k	TResNet	tresnet_l	2023-04-22
tresnet_v2_l.miil_in21k	67.0M	8.8G	224	True	2048	11221	imagenet-21k-miil	TResNet	tresnet_v2_l	2023-04-22
tresnet_v2_l.miil_in21k_ft_in1k	46.1M	8.8G	224	True	2048	1000	imagenet-1k	TResNet	tresnet_v2_l	2023-04-22
tresnet_m.miil_in21k	52.3M	5.8G	224	True	2048	11221	imagenet-21k-miil	TResNet	tresnet_m	2023-04-22
tresnet_m.miil_in21k_ft_in1k	31.3M	5.7G	224	True	2048	1000	imagenet-1k	TResNet	tresnet_m	2023-04-22
tresnet_m.miil_in1k	31.3M	5.7G	224	True	2048	1000	imagenet-1k	TResNet	tresnet_m	2023-04-22

TinyVit

11 models with model class TinyVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
tiny_vit_21m_512.dist_in22k_ft_in1k	21.2M	21.3G	512	True	576	1000	imagenet-1k	TinyVit	tiny_vit_21m_512	2023-09-02
tiny_vit_21m_384.dist_in22k_ft_in1k	21.2M	12.0G	384	True	576	1000	imagenet-1k	TinyVit	tiny_vit_21m_384	2023-09-02
tiny_vit_21m_224.dist_in22k	33.2M	4.1G	224	True	576	21841	imagenet-22k	TinyVit	tiny_vit_21m_224	2023-09-02
tiny_vit_21m_224.in1k	21.2M	4.1G	224	True	576	1000	imagenet-1k	TinyVit	tiny_vit_21m_224	2023-09-02
tiny_vit_21m_224.dist_in22k_ft_in1k	21.2M	4.1G	224	True	576	1000	imagenet-1k	TinyVit	tiny_vit_21m_224	2023-09-02
tiny_vit_11m_224.dist_in22k	20.3M	1.9G	224	True	448	21841	imagenet-22k	TinyVit	tiny_vit_11m_224	2023-09-02
tiny_vit_11m_224.in1k	11.0M	1.9G	224	True	448	1000	imagenet-1k	TinyVit	tiny_vit_11m_224	2023-09-02
tiny_vit_11m_224.dist_in22k_ft_in1k	11.0M	1.9G	224	True	448	1000	imagenet-1k	TinyVit	tiny_vit_11m_224	2023-09-02
tiny_vit_5m_224.dist_in22k	12.1M	1.2G	224	True	320	21841	imagenet-22k	TinyVit	tiny_vit_5m_224	2023-09-02
tiny_vit_5m_224.in1k	5.4M	1.2G	224	True	320	1000	imagenet-1k	TinyVit	tiny_vit_5m_224	2023-09-02
tiny_vit_5m_224.dist_in22k_ft_in1k	5.4M	1.2G	224	True	320	1000	imagenet-1k	TinyVit	tiny_vit_5m_224	2023-09-02

Twins

6 models with model class Twins.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
twins_svt_large.in1k	99.3M	14.8G	224	True	1024	1000	imagenet-1k	Twins	twins_svt_large	2023-04-24
twins_pcpvt_large.in1k	61.0M	9.5G	224	True	512	1000	imagenet-1k	Twins	twins_pcpvt_large	2023-04-24
twins_svt_base.in1k	56.1M	8.4G	224	True	768	1000	imagenet-1k	Twins	twins_svt_base	2023-04-24
twins_pcpvt_base.in1k	43.8M	6.5G	224	True	512	1000	imagenet-1k	Twins	twins_pcpvt_base	2023-04-24
twins_pcpvt_small.in1k	24.1M	3.7G	224	True	512	1000	imagenet-1k	Twins	twins_pcpvt_small	2023-04-24
twins_svt_small.in1k	24.1M	2.8G	224	True	512	1000	imagenet-1k	Twins	twins_svt_small	2023-04-24

VGG

8 models with model class VGG.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
vgg19_bn.tv_in1k	143.7M	19.7G	224	True	4096	1000	imagenet-1k	VGG	vgg19_bn	2023-04-26
vgg19.tv_in1k	143.7M	19.6G	224	True	4096	1000	imagenet-1k	VGG	vgg19	2023-04-26
vgg16_bn.tv_in1k	138.4M	15.5G	224	True	4096	1000	imagenet-1k	VGG	vgg16_bn	2023-04-26
vgg16.tv_in1k	138.4M	15.5G	224	True	4096	1000	imagenet-1k	VGG	vgg16	2023-04-26
vgg13_bn.tv_in1k	133.1M	11.4G	224	True	4096	1000	imagenet-1k	VGG	vgg13_bn	2023-04-26
vgg13.tv_in1k	133.0M	11.3G	224	True	4096	1000	imagenet-1k	VGG	vgg13	2023-04-26
vgg11_bn.tv_in1k	132.9M	7.6G	224	True	4096	1000	imagenet-1k	VGG	vgg11_bn	2023-04-26
vgg11.tv_in1k	132.9M	7.6G	224	True	4096	1000	imagenet-1k	VGG	vgg11	2023-04-26

Visformer

2 models with model class Visformer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
visformer_small.in1k	40.0M	4.8G	224	True	768	1000	imagenet-1k	Visformer	visformer_small	2023-04-27
visformer_tiny.in1k	10.2M	1.2G	224	True	384	1000	imagenet-1k	Visformer	visformer_tiny	2023-04-27

VisionTransformer

131 models with model class VisionTransformer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
vit_base_patch14_reg4_dinov2.lvd142m	85.5M	117.4G	518	False	768	768		VisionTransformer	vit_base_patch14_reg4_dinov2	2023-10-30
vit_base_patch14_dinov2.lvd142m	85.5M	117.1G	518	False	768	768		VisionTransformer	vit_base_patch14_dinov2	2023-05-10
vit_base_patch16_siglip_512.webli	92.7M	88.9G	512	False	768	768		VisionTransformer	vit_base_patch16_siglip_512	2024-12-24
vit_base_patch16_siglip_gap_512.webli	85.6M	87.7G	512	False	768	768		VisionTransformer	vit_base_patch16_siglip_gap_512	2024-12-24
vit_so150m_patch16_reg4_gap_384.sbb_e250_in12k_ft_in1k	133.9M	77.1G	384	True	896	1000	imagenet-1k	VisionTransformer	vit_so150m_patch16_reg4_gap_384	2025-01-17
vit_base_patch8_224.augreg_in21k	102.0M	66.9G	224	True	768	21843	imagenet-21k-goog	VisionTransformer	vit_base_patch8_224	2022-12-22
vit_base_patch8_224.augreg_in21k_ft_in1k	86.0M	66.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch8_224	2022-12-22
vit_base_patch8_224.augreg2_in21k_ft_in1k	86.0M	66.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch8_224	2022-12-22
vit_base_patch8_224.dino	85.2M	66.8G	224	False	768	768		VisionTransformer	vit_base_patch8_224	2022-12-22
vit_base_patch16_siglip_384.webli	92.7M	50.0G	384	False	768	768		VisionTransformer	vit_base_patch16_siglip_384	2024-12-24
vit_base_r50_s16_384.orig_in21k_ft_in1k	86.6M	49.5G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_r50_s16_384	2022-12-23
vit_base_patch16_clip_384.openai_ft_in12k_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_384	2022-12-01
vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_384	2022-11-11
vit_base_patch16_clip_384.openai_ft_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_384	2022-11-10
vit_base_patch16_clip_384.laion2b_ft_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_384	2022-11-10
deit_base_patch16_384.fb_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	deit_base_patch16_384	2023-03-28
deit3_base_patch16_384.fb_in22k_ft_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	deit3_base_patch16_384	2023-03-28
deit3_base_patch16_384.fb_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	deit3_base_patch16_384	2023-03-28
vit_base_patch16_384.orig_in21k_ft_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_384	2022-12-22
vit_base_patch16_384.augreg_in21k_ft_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_384	2022-12-22
vit_base_patch16_384.augreg_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_384	2022-12-22
vit_base_patch16_siglip_gap_384.webli	85.6M	49.3G	384	False	768	768		VisionTransformer	vit_base_patch16_siglip_gap_384	2024-12-24
vit_mediumd_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	64.0M	36.8G	384	True	512	1000	imagenet-1k	VisionTransformer	vit_mediumd_patch16_reg4_gap_384	2024-08-22
vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k	143.6M	34.6G	256	True	896	11821	imagenet-12k	VisionTransformer	vit_so150m_patch16_reg4_gap_256	2025-01-17
vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k_ft_in1k	133.9M	34.6G	256	True	896	1000	imagenet-1k	VisionTransformer	vit_so150m_patch16_reg4_gap_256	2025-01-19
vit_betwixt_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	60.2M	34.5G	384	True	640	1000	imagenet-1k	VisionTransformer	vit_betwixt_patch16_reg4_gap_384	2024-08-22
vit_small_patch14_reg4_dinov2.lvd142m	21.5M	29.5G	518	False	384	384		VisionTransformer	vit_small_patch14_reg4_dinov2	2023-10-30
vit_small_patch14_dinov2.lvd142m	21.5M	29.5G	518	False	384	384		VisionTransformer	vit_small_patch14_dinov2	2023-05-10
vit_base_patch16_siglip_256.webli_i18n	92.7M	22.2G	256	False	768	768		VisionTransformer	vit_base_patch16_siglip_256	2024-12-24
vit_base_patch16_siglip_256.webli	92.7M	22.2G	256	False	768	768		VisionTransformer	vit_base_patch16_siglip_256	2024-12-24
vit_medium_patch16_gap_384.sw_in12k_ft_in1k	38.7M	22.0G	384	True	512	1000	imagenet-1k	VisionTransformer	vit_medium_patch16_gap_384	2022-12-02
vit_base_patch16_siglip_gap_256.webli_i18n	85.6M	21.9G	256	False	768	768		VisionTransformer	vit_base_patch16_siglip_gap_256	2024-12-24
vit_base_patch16_siglip_gap_256.webli	85.6M	21.9G	256	False	768	768		VisionTransformer	vit_base_patch16_siglip_gap_256	2024-12-24
flexivit_base.patch30_in21k	102.4M	19.4G	240	True	768	21843	imagenet-21k-goog	VisionTransformer	flexivit_base	2022-12-22
flexivit_base.patch16_in21k	102.4M	19.4G	240	True	768	21843	imagenet-21k-goog	VisionTransformer	flexivit_base	2022-12-22
flexivit_base.1000ep_in21k	102.4M	19.4G	240	True	768	21843	imagenet-21k-goog	VisionTransformer	flexivit_base	2022-12-22
flexivit_base.300ep_in21k	102.4M	19.4G	240	True	768	21843	imagenet-21k-goog	VisionTransformer	flexivit_base	2022-12-22
flexivit_base.1200ep_in1k	86.4M	19.3G	240	True	768	1000	imagenet-1k	VisionTransformer	flexivit_base	2022-12-22
flexivit_base.600ep_in1k	86.4M	19.3G	240	True	768	1000	imagenet-1k	VisionTransformer	flexivit_base	2022-12-22
flexivit_base.300ep_in1k	86.4M	19.3G	240	True	768	1000	imagenet-1k	VisionTransformer	flexivit_base	2022-12-22
vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	88.2M	17.2G	448	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_clip_448	2022-11-06
vit_base_patch16_siglip_224.webli	92.7M	17.0G	224	False	768	768		VisionTransformer	vit_base_patch16_siglip_224	2024-12-24
vit_base_r50_s16_224.orig_in21k	85.8M	16.9G	224	False	768	768		VisionTransformer	vit_base_r50_s16_224	2022-12-23
vit_base_patch16_224.augreg_in21k	102.4M	16.9G	224	True	768	21843	imagenet-21k-goog	VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_clip_224.openai_ft_in12k	94.7M	16.9G	224	True	768	11821	imagenet-12k	VisionTransformer	vit_base_patch16_clip_224	2022-11-22
vit_base_patch16_clip_224.laion2b_ft_in12k	94.7M	16.9G	224	True	768	11821	imagenet-12k	VisionTransformer	vit_base_patch16_clip_224	2022-11-10
vit_base_patch16_224_miil.in21k	94.2M	16.9G	224	True	768	11221	imagenet-21k-miil	VisionTransformer	vit_base_patch16_224_miil	2022-12-22
vit_base_patch16_clip_224.openai_ft_in12k_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_224	2022-11-28
vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_224	2022-11-28
vit_base_patch16_clip_224.openai_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_224	2022-11-09
vit_base_patch16_clip_224.laion2b_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_224	2022-11-09
deit_base_patch16_224.fb_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	deit_base_patch16_224	2023-03-28
deit3_base_patch16_224.fb_in22k_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	deit3_base_patch16_224	2023-03-28
deit3_base_patch16_224.fb_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	deit3_base_patch16_224	2023-03-28
vit_base_patch16_224_miil.in21k_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_224_miil	2022-12-22
vit_base_patch16_224.sam_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_224.orig_in21k_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_224.augreg_in21k_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_224.augreg_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_224.augreg2_in21k_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_224.orig_in21k	85.6M	16.9G	224	False	768	768		VisionTransformer	vit_base_patch16_224	2023-11-17
vit_base_patch16_224.mae	85.6M	16.9G	224	False	768	768		VisionTransformer	vit_base_patch16_224	2023-05-10
vit_base_patch16_224.dino	85.6M	16.9G	224	False	768	768		VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_rpn_224.sw_in1k	86.4M	16.8G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_rpn_224	2022-12-22
vit_base_patch16_siglip_gap_224.webli	85.6M	16.8G	224	False	768	768		VisionTransformer	vit_base_patch16_siglip_gap_224	2024-12-24
vit_small_patch8_224.dino	21.4M	16.8G	224	False	384	384		VisionTransformer	vit_small_patch8_224	2022-12-22
vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k	69.5M	16.5G	256	True	512	11821	imagenet-12k	VisionTransformer	vit_mediumd_patch16_reg4_gap_256	2024-08-15
vit_mediumd_patch16_reg4_gap_256.sbb_in12k	69.5M	16.5G	256	True	512	11821	imagenet-12k	VisionTransformer	vit_mediumd_patch16_reg4_gap_256	2024-05-11
vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	64.0M	16.5G	256	True	512	1000	imagenet-1k	VisionTransformer	vit_mediumd_patch16_reg4_gap_256	2024-08-22
vit_mediumd_patch16_reg4_gap_256.sbb_in12k_ft_in1k	64.0M	16.5G	256	True	512	1000	imagenet-1k	VisionTransformer	vit_mediumd_patch16_reg4_gap_256	2024-05-11
vit_betwixt_patch16_reg4_gap_256.sbb2_e200_in12k	67.2M	15.5G	256	True	640	11821	imagenet-12k	VisionTransformer	vit_betwixt_patch16_reg4_gap_256	2024-08-15
vit_betwixt_patch16_reg4_gap_256.sbb_in12k	67.2M	15.5G	256	True	640	11821	imagenet-12k	VisionTransformer	vit_betwixt_patch16_reg4_gap_256	2024-05-11
vit_betwixt_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	60.2M	15.5G	256	True	640	1000	imagenet-1k	VisionTransformer	vit_betwixt_patch16_reg4_gap_256	2024-08-22
vit_betwixt_patch16_reg4_gap_256.sbb_in12k_ft_in1k	60.2M	15.5G	256	True	640	1000	imagenet-1k	VisionTransformer	vit_betwixt_patch16_reg4_gap_256	2024-05-11
vit_betwixt_patch16_reg4_gap_256.sbb_in1k	60.2M	15.5G	256	True	640	1000	imagenet-1k	VisionTransformer	vit_betwixt_patch16_reg4_gap_256	2024-05-11
vit_betwixt_patch16_reg1_gap_256.sbb_in1k	60.2M	15.3G	256	True	640	1000	imagenet-1k	VisionTransformer	vit_betwixt_patch16_reg1_gap_256	2024-05-11
vit_base_patch32_clip_384.openai_ft_in12k_in1k	88.2M	12.7G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_clip_384	2022-11-11
vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	88.2M	12.7G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_clip_384	2022-11-06
vit_base_patch32_384.augreg_in21k_ft_in1k	88.2M	12.7G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_384	2022-12-22
vit_base_patch32_384.augreg_in1k	88.2M	12.7G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_384	2022-12-22
deit3_small_patch16_384.fb_in22k_ft_in1k	22.0M	12.4G	384	True	384	1000	imagenet-1k	VisionTransformer	deit3_small_patch16_384	2023-03-28
deit3_small_patch16_384.fb_in1k	22.0M	12.4G	384	True	384	1000	imagenet-1k	VisionTransformer	deit3_small_patch16_384	2023-03-28
vit_small_patch16_384.augreg_in21k_ft_in1k	22.0M	12.4G	384	True	384	1000	imagenet-1k	VisionTransformer	vit_small_patch16_384	2022-12-22
vit_small_patch16_384.augreg_in1k	22.0M	12.4G	384	True	384	1000	imagenet-1k	VisionTransformer	vit_small_patch16_384	2022-12-22
vit_medium_patch16_reg4_gap_256.sbb_in12k	44.3M	9.9G	256	True	512	11821	imagenet-12k	VisionTransformer	vit_medium_patch16_reg4_gap_256	2024-05-21
vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k	38.7M	9.9G	256	True	512	1000	imagenet-1k	VisionTransformer	vit_medium_patch16_reg4_gap_256	2024-05-21
vit_medium_patch16_reg4_gap_256.sbb_in1k	38.7M	9.9G	256	True	512	1000	imagenet-1k	VisionTransformer	vit_medium_patch16_reg4_gap_256	2024-05-11
vit_medium_patch16_reg1_gap_256.sbb_in1k	38.7M	9.8G	256	True	512	1000	imagenet-1k	VisionTransformer	vit_medium_patch16_reg1_gap_256	2024-05-11
vit_medium_patch16_gap_256.sw_in12k_ft_in1k	38.7M	9.8G	256	True	512	1000	imagenet-1k	VisionTransformer	vit_medium_patch16_gap_256	2022-12-02
vit_medium_patch16_gap_240.sw_in12k	44.3M	8.6G	240	True	512	11821	imagenet-12k	VisionTransformer	vit_medium_patch16_gap_240	2022-12-01
deit3_medium_patch16_224.fb_in22k_ft_in1k	38.7M	7.5G	224	True	512	1000	imagenet-1k	VisionTransformer	deit3_medium_patch16_224	2023-03-28
deit3_medium_patch16_224.fb_in1k	38.7M	7.5G	224	True	512	1000	imagenet-1k	VisionTransformer	deit3_medium_patch16_224	2023-03-28
vit_little_patch16_reg4_gap_256.sbb_in1k	22.4M	5.7G	256	True	320	1000	imagenet-1k	VisionTransformer	vit_little_patch16_reg4_gap_256	2024-05-11
vit_little_patch16_reg1_gap_256.sbb_in12k	25.9M	5.7G	256	True	320	11821	imagenet-12k	VisionTransformer	vit_little_patch16_reg1_gap_256	2024-05-28
vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k	22.4M	5.7G	256	True	320	1000	imagenet-1k	VisionTransformer	vit_little_patch16_reg1_gap_256	2024-05-28
flexivit_small.1200ep_in1k	22.0M	4.9G	240	True	384	1000	imagenet-1k	VisionTransformer	flexivit_small	2022-12-22
flexivit_small.600ep_in1k	22.0M	4.9G	240	True	384	1000	imagenet-1k	VisionTransformer	flexivit_small	2022-12-22
flexivit_small.300ep_in1k	22.0M	4.9G	240	True	384	1000	imagenet-1k	VisionTransformer	flexivit_small	2022-12-22
vit_base_patch32_224.augreg_in21k	104.2M	4.4G	224	True	768	21843	imagenet-21k-goog	VisionTransformer	vit_base_patch32_224	2022-12-22
vit_base_patch32_clip_224.openai_ft_in1k	88.2M	4.4G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_clip_224	2022-11-10
vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	88.2M	4.4G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_clip_224	2022-11-06
vit_base_patch32_clip_224.laion2b_ft_in1k	88.2M	4.4G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_clip_224	2022-11-02
vit_base_patch32_224.sam_in1k	88.2M	4.4G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_224	2022-12-22
vit_base_patch32_224.augreg_in21k_ft_in1k	88.2M	4.4G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_224	2022-12-22
vit_base_patch32_224.augreg_in1k	88.2M	4.4G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_224	2022-12-22
vit_base_patch32_224.orig_in21k	87.4M	4.4G	224	False	768	768		VisionTransformer	vit_base_patch32_224	2023-11-17
vit_small_patch16_224.augreg_in21k	30.0M	4.3G	224	True	384	21843	imagenet-21k-goog	VisionTransformer	vit_small_patch16_224	2022-12-22
deit_small_patch16_224.fb_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformer	deit_small_patch16_224	2023-03-28
deit3_small_patch16_224.fb_in22k_ft_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformer	deit3_small_patch16_224	2023-03-28
deit3_small_patch16_224.fb_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformer	deit3_small_patch16_224	2023-03-28
vit_small_patch16_224.augreg_in21k_ft_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformer	vit_small_patch16_224	2022-12-22
vit_small_patch16_224.augreg_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformer	vit_small_patch16_224	2022-12-22
vit_small_patch16_224.dino	21.6M	4.2G	224	False	384	384		VisionTransformer	vit_small_patch16_224	2022-12-22
vit_pwee_patch16_reg1_gap_256.sbb_in1k	15.2M	3.8G	256	True	256	1000	imagenet-1k	VisionTransformer	vit_pwee_patch16_reg1_gap_256	2024-05-11
vit_wee_patch16_reg1_gap_256.sbb_in1k	13.3M	3.4G	256	True	256	1000	imagenet-1k	VisionTransformer	vit_wee_patch16_reg1_gap_256	2024-05-14
vit_small_patch32_384.augreg_in21k_ft_in1k	22.9M	3.3G	384	True	384	1000	imagenet-1k	VisionTransformer	vit_small_patch32_384	2022-12-22
vit_small_r26_s32_384.augreg_in21k_ft_in1k	22.5M	3.2G	384	True	384	1000	imagenet-1k	VisionTransformer	vit_small_r26_s32_384	2022-12-23
vit_tiny_patch16_384.augreg_in21k_ft_in1k	5.7M	3.2G	384	True	192	1000	imagenet-1k	VisionTransformer	vit_tiny_patch16_384	2022-12-22
vit_small_patch32_224.augreg_in21k	30.9M	1.1G	224	True	384	21843	imagenet-21k-goog	VisionTransformer	vit_small_patch32_224	2022-12-22
vit_small_patch32_224.augreg_in21k_ft_in1k	22.9M	1.1G	224	True	384	1000	imagenet-1k	VisionTransformer	vit_small_patch32_224	2022-12-22
vit_small_r26_s32_224.augreg_in21k	30.5M	1.1G	224	True	384	21843	imagenet-21k-goog	VisionTransformer	vit_small_r26_s32_224	2022-12-23
vit_small_r26_s32_224.augreg_in21k_ft_in1k	22.5M	1.1G	224	True	384	1000	imagenet-1k	VisionTransformer	vit_small_r26_s32_224	2022-12-23
vit_tiny_patch16_224.augreg_in21k	9.7M	1.1G	224	True	192	21843	imagenet-21k-goog	VisionTransformer	vit_tiny_patch16_224	2022-12-22
deit_tiny_patch16_224.fb_in1k	5.7M	1.1G	224	True	192	1000	imagenet-1k	VisionTransformer	deit_tiny_patch16_224	2023-03-28
vit_tiny_patch16_224.augreg_in21k_ft_in1k	5.7M	1.1G	224	True	192	1000	imagenet-1k	VisionTransformer	vit_tiny_patch16_224	2022-12-22
vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	6.3M	885.9M	384	True	192	1000	imagenet-1k	VisionTransformer	vit_tiny_r_s16_p8_384	2022-12-23
vit_tiny_r_s16_p8_224.augreg_in21k	10.3M	309.1M	224	True	192	21843	imagenet-21k-goog	VisionTransformer	vit_tiny_r_s16_p8_224	2022-12-23
vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	6.3M	305.1M	224	True	192	1000	imagenet-1k	VisionTransformer	vit_tiny_r_s16_p8_224	2022-12-23
test_vit3.r160_in1k	918.7K	77.1M	160	True	96	1000	imagenet-1k	VisionTransformer	test_vit3	2024-10-01
test_vit2.r160_in1k	448.2K	38.5M	160	True	64	1000	imagenet-1k	VisionTransformer	test_vit2	2024-09-22
test_vit.r160_in1k	364.7K	30.1M	160	True	64	1000	imagenet-1k	VisionTransformer	test_vit	2024-07-23

VisionTransformerRelPos

9 models with model class VisionTransformerRelPos.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
vit_relpos_base_patch16_clsgap_224.sw_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_base_patch16_clsgap_224	2022-12-23
vit_relpos_base_patch16_224.sw_in1k	86.4M	16.8G	224	True	768	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_base_patch16_224	2022-12-23
vit_relpos_base_patch32_plus_rpn_256.sw_in1k	119.4M	7.6G	256	True	896	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_base_patch32_plus_rpn_256	2022-12-23
vit_relpos_medium_patch16_cls_224.sw_in1k	38.8M	7.5G	224	True	512	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_medium_patch16_cls_224	2022-12-23
vit_relpos_medium_patch16_rpn_224.sw_in1k	38.7M	7.5G	224	True	512	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_medium_patch16_rpn_224	2022-12-23
vit_relpos_medium_patch16_224.sw_in1k	38.7M	7.5G	224	True	512	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_medium_patch16_224	2022-12-23
vit_srelpos_medium_patch16_224.sw_in1k	38.7M	7.5G	224	True	512	1000	imagenet-1k	VisionTransformerRelPos	vit_srelpos_medium_patch16_224	2022-12-23
vit_relpos_small_patch16_224.sw_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_small_patch16_224	2022-12-23
vit_srelpos_small_patch16_224.sw_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformerRelPos	vit_srelpos_small_patch16_224	2022-12-23

VovNet

3 models with model class VovNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
ese_vovnet57b.ra4_e3600_r256_in1k	38.6M	11.7G	256	True	1024	1000	imagenet-1k	VovNet	ese_vovnet57b	2025-01-17
ese_vovnet39b.ra_in1k	24.5M	7.1G	224	True	1024	1000	imagenet-1k	VovNet	ese_vovnet39b	2023-04-22
ese_vovnet19b_dw.ra_in1k	6.5M	1.3G	224	True	1024	1000	imagenet-1k	VovNet	ese_vovnet19b_dw	2023-04-22

XceptionAligned

6 models with model class XceptionAligned.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
xception71.tf_in1k	42.3M	18.2G	299	True	2048	1000	imagenet-1k	XceptionAligned	xception71	2023-04-22
xception65.tf_in1k	39.9M	14.0G	299	True	2048	1000	imagenet-1k	XceptionAligned	xception65	2023-04-22
xception65.ra3_in1k	39.9M	14.0G	299	True	2048	1000	imagenet-1k	XceptionAligned	xception65	2023-04-22
xception65p.ra3_in1k	39.7M	13.9G	299	True	2048	1000	imagenet-1k	XceptionAligned	xception65p	2023-04-22
xception41.tf_in1k	27.0M	9.3G	299	True	2048	1000	imagenet-1k	XceptionAligned	xception41	2023-04-22
xception41p.ra3_in1k	26.9M	9.2G	299	True	2048	1000	imagenet-1k	XceptionAligned	xception41p	2023-04-22

Xcit

42 models with model class Xcit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
xcit_large_24_p8_384.fb_dist_in1k	188.9M	410.9G	384	True	768	1000	imagenet-1k	Xcit	xcit_large_24_p8_384	2023-04-13
xcit_medium_24_p8_384.fb_dist_in1k	84.3M	183.0G	384	True	512	1000	imagenet-1k	Xcit	xcit_medium_24_p8_384	2023-04-13
xcit_large_24_p8_224.fb_in1k	188.9M	139.8G	224	True	768	1000	imagenet-1k	Xcit	xcit_large_24_p8_224	2023-04-13
xcit_large_24_p8_224.fb_dist_in1k	188.9M	139.8G	224	True	768	1000	imagenet-1k	Xcit	xcit_large_24_p8_224	2023-04-13
xcit_large_24_p16_384.fb_dist_in1k	189.0M	104.3G	384	True	768	1000	imagenet-1k	Xcit	xcit_large_24_p16_384	2023-04-13
xcit_small_24_p8_384.fb_dist_in1k	47.6M	103.2G	384	True	384	1000	imagenet-1k	Xcit	xcit_small_24_p8_384	2023-04-13
xcit_medium_24_p8_224.fb_in1k	84.3M	62.3G	224	True	512	1000	imagenet-1k	Xcit	xcit_medium_24_p8_224	2023-04-13
xcit_medium_24_p8_224.fb_dist_in1k	84.3M	62.3G	224	True	512	1000	imagenet-1k	Xcit	xcit_medium_24_p8_224	2023-04-13
xcit_small_12_p8_384.fb_dist_in1k	26.2M	53.9G	384	True	384	1000	imagenet-1k	Xcit	xcit_small_12_p8_384	2023-04-13
xcit_medium_24_p16_384.fb_dist_in1k	84.4M	46.5G	384	True	512	1000	imagenet-1k	Xcit	xcit_medium_24_p16_384	2023-04-13
xcit_large_24_p16_224.fb_in1k	189.0M	35.5G	224	True	768	1000	imagenet-1k	Xcit	xcit_large_24_p16_224	2023-04-13
xcit_large_24_p16_224.fb_dist_in1k	189.0M	35.5G	224	True	768	1000	imagenet-1k	Xcit	xcit_large_24_p16_224	2023-04-13
xcit_small_24_p8_224.fb_in1k	47.6M	35.1G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_24_p8_224	2023-04-13
xcit_small_24_p8_224.fb_dist_in1k	47.6M	35.1G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_24_p8_224	2023-04-13
xcit_small_24_p16_384.fb_dist_in1k	47.6M	26.2G	384	True	384	1000	imagenet-1k	Xcit	xcit_small_24_p16_384	2023-04-13
xcit_tiny_24_p8_384.fb_dist_in1k	12.1M	26.0G	384	True	192	1000	imagenet-1k	Xcit	xcit_tiny_24_p8_384	2023-04-13
xcit_small_12_p8_224.fb_in1k	26.2M	18.3G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_12_p8_224	2023-04-13
xcit_small_12_p8_224.fb_dist_in1k	26.2M	18.3G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_12_p8_224	2023-04-13
xcit_medium_24_p16_224.fb_in1k	84.4M	15.8G	224	True	512	1000	imagenet-1k	Xcit	xcit_medium_24_p16_224	2023-04-13
xcit_medium_24_p16_224.fb_dist_in1k	84.4M	15.8G	224	True	512	1000	imagenet-1k	Xcit	xcit_medium_24_p16_224	2023-04-13
xcit_small_12_p16_384.fb_dist_in1k	26.2M	13.9G	384	True	384	1000	imagenet-1k	Xcit	xcit_small_12_p16_384	2023-04-13
xcit_tiny_12_p8_384.fb_dist_in1k	6.7M	13.6G	384	True	192	1000	imagenet-1k	Xcit	xcit_tiny_12_p8_384	2023-04-13
xcit_small_24_p16_224.fb_in1k	47.6M	8.9G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_24_p16_224	2023-04-13
xcit_small_24_p16_224.fb_dist_in1k	47.6M	8.9G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_24_p16_224	2023-04-13
xcit_tiny_24_p8_224.fb_in1k	12.1M	8.9G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_24_p8_224	2023-04-13
xcit_tiny_24_p8_224.fb_dist_in1k	12.1M	8.9G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_24_p8_224	2023-04-13
xcit_tiny_24_p16_384.fb_dist_in1k	12.1M	6.6G	384	True	192	1000	imagenet-1k	Xcit	xcit_tiny_24_p16_384	2023-04-13
xcit_nano_12_p8_384.fb_dist_in1k	3.0M	6.1G	384	True	128	1000	imagenet-1k	Xcit	xcit_nano_12_p8_384	2023-04-13
xcit_small_12_p16_224.fb_in1k	26.2M	4.7G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_12_p16_224	2023-04-13
xcit_small_12_p16_224.fb_dist_in1k	26.2M	4.7G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_12_p16_224	2023-04-13
xcit_tiny_12_p8_224.fb_in1k	6.7M	4.6G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_12_p8_224	2023-04-13
xcit_tiny_12_p8_224.fb_dist_in1k	6.7M	4.6G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_12_p8_224	2023-04-13
xcit_tiny_12_p16_384.fb_dist_in1k	6.7M	3.5G	384	True	192	1000	imagenet-1k	Xcit	xcit_tiny_12_p16_384	2023-04-13
xcit_tiny_24_p16_224.fb_in1k	12.1M	2.3G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_24_p16_224	2023-04-13
xcit_tiny_24_p16_224.fb_dist_in1k	12.1M	2.3G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_24_p16_224	2023-04-13
xcit_nano_12_p8_224.fb_in1k	3.0M	2.1G	224	True	128	1000	imagenet-1k	Xcit	xcit_nano_12_p8_224	2023-04-13
xcit_nano_12_p8_224.fb_dist_in1k	3.0M	2.1G	224	True	128	1000	imagenet-1k	Xcit	xcit_nano_12_p8_224	2023-04-13
xcit_nano_12_p16_384.fb_dist_in1k	3.0M	1.6G	384	True	128	1000	imagenet-1k	Xcit	xcit_nano_12_p16_384	2023-04-13
xcit_tiny_12_p16_224.fb_in1k	6.7M	1.2G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_12_p16_224	2023-04-13
xcit_tiny_12_p16_224.fb_dist_in1k	6.7M	1.2G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_12_p16_224	2023-04-13
xcit_nano_12_p16_224.fb_in1k	3.0M	538.2M	224	True	128	1000	imagenet-1k	Xcit	xcit_nano_12_p16_224	2023-04-13
xcit_nano_12_p16_224.fb_dist_in1k	3.0M	538.2M	224	True	128	1000	imagenet-1k	Xcit	xcit_nano_12_p16_224	2023-04-13

Model info

image-classification dghs-imgutils

dghs-imgutils onnx timm image dghs-realutils image-classification en base_model:timm/convnext_nano.r384_ad_in12k base_model:quantized:timm/convnext_nano.r384_ad_in12k region:us

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Created: 2025-01-19

Updated: 2025-01-21

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Files (3420)

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README.md

beit_base_patch16_224.in22k_ft_in22k/meta.json

beit_base_patch16_224.in22k_ft_in22k/model.onnx ONNX

beit_base_patch16_224.in22k_ft_in22k/preprocess.json

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beit_base_patch16_384.in22k_ft_in22k_in1k/meta.json

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caformer_s36.sail_in1k/meta.json

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cait_m36_384.fb_dist_in1k/meta.json

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coatnet_0_rw_224.sw_in1k/meta.json

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convformer_b36.sail_in1k/meta.json

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convformer_s18.sail_in1k/meta.json

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convformer_s36.sail_in22k_ft_in1k_384/meta.json

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convit_base.fb_in1k/meta.json

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convnext_large_mlp.clip_laion2b_soup_ft_in12k_384/preprocess.json

convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320/meta.json

convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320/model.onnx ONNX

convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320/preprocess.json

convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384/meta.json

convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384/model.onnx ONNX

convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384/preprocess.json

convnext_nano.d1h_in1k/meta.json

convnext_nano.d1h_in1k/model.onnx ONNX

convnext_nano.d1h_in1k/preprocess.json

convnext_nano.in12k/meta.json

convnext_nano.in12k/model.onnx ONNX

convnext_nano.in12k/preprocess.json

convnext_nano.in12k_ft_in1k/meta.json

convnext_nano.in12k_ft_in1k/model.onnx ONNX

convnext_nano.in12k_ft_in1k/preprocess.json

convnext_nano.r384_ad_in12k/meta.json

convnext_nano.r384_ad_in12k/model.onnx ONNX

convnext_nano.r384_ad_in12k/preprocess.json

convnext_nano.r384_in12k/meta.json

convnext_nano.r384_in12k/model.onnx ONNX

convnext_nano.r384_in12k/preprocess.json

convnext_nano.r384_in12k_ft_in1k/meta.json

convnext_nano.r384_in12k_ft_in1k/model.onnx ONNX

convnext_nano.r384_in12k_ft_in1k/preprocess.json

convnext_nano_ols.d1h_in1k/meta.json

convnext_nano_ols.d1h_in1k/model.onnx ONNX

convnext_nano_ols.d1h_in1k/preprocess.json

convnext_pico.d1_in1k/meta.json

convnext_pico.d1_in1k/model.onnx ONNX

convnext_pico.d1_in1k/preprocess.json

convnext_pico_ols.d1_in1k/meta.json

convnext_pico_ols.d1_in1k/model.onnx ONNX

convnext_pico_ols.d1_in1k/preprocess.json

convnext_small.fb_in1k/meta.json

convnext_small.fb_in1k/model.onnx ONNX

convnext_small.fb_in1k/preprocess.json

convnext_small.fb_in22k/meta.json

convnext_small.fb_in22k/model.onnx ONNX

convnext_small.fb_in22k/preprocess.json

convnext_small.fb_in22k_ft_in1k/meta.json

convnext_small.fb_in22k_ft_in1k/model.onnx ONNX

convnext_small.fb_in22k_ft_in1k/preprocess.json

convnext_small.fb_in22k_ft_in1k_384/meta.json

convnext_small.fb_in22k_ft_in1k_384/model.onnx ONNX

convnext_small.fb_in22k_ft_in1k_384/preprocess.json

convnext_small.in12k/meta.json

convnext_small.in12k/model.onnx ONNX

convnext_small.in12k/preprocess.json

convnext_small.in12k_ft_in1k/meta.json

convnext_small.in12k_ft_in1k/model.onnx ONNX

convnext_small.in12k_ft_in1k/preprocess.json

convnext_small.in12k_ft_in1k_384/meta.json

convnext_small.in12k_ft_in1k_384/model.onnx ONNX

convnext_small.in12k_ft_in1k_384/preprocess.json

convnext_tiny.fb_in1k/meta.json

convnext_tiny.fb_in1k/model.onnx ONNX

convnext_tiny.fb_in1k/preprocess.json

convnext_tiny.fb_in22k/meta.json

convnext_tiny.fb_in22k/model.onnx ONNX

convnext_tiny.fb_in22k/preprocess.json

convnext_tiny.fb_in22k_ft_in1k/meta.json

convnext_tiny.fb_in22k_ft_in1k/model.onnx ONNX

convnext_tiny.fb_in22k_ft_in1k/preprocess.json

convnext_tiny.fb_in22k_ft_in1k_384/meta.json

convnext_tiny.fb_in22k_ft_in1k_384/model.onnx ONNX

convnext_tiny.fb_in22k_ft_in1k_384/preprocess.json

convnext_tiny.in12k/meta.json

convnext_tiny.in12k/model.onnx ONNX

convnext_tiny.in12k/preprocess.json

convnext_tiny.in12k_ft_in1k/meta.json

convnext_tiny.in12k_ft_in1k/model.onnx ONNX

convnext_tiny.in12k_ft_in1k/preprocess.json

convnext_tiny.in12k_ft_in1k_384/meta.json

convnext_tiny.in12k_ft_in1k_384/model.onnx ONNX

convnext_tiny.in12k_ft_in1k_384/preprocess.json

convnext_tiny_hnf.a2h_in1k/meta.json

convnext_tiny_hnf.a2h_in1k/model.onnx ONNX

convnext_tiny_hnf.a2h_in1k/preprocess.json

convnext_zepto_rms.ra4_e3600_r224_in1k/meta.json

convnext_zepto_rms.ra4_e3600_r224_in1k/model.onnx ONNX

convnext_zepto_rms.ra4_e3600_r224_in1k/preprocess.json

convnext_zepto_rms_ols.ra4_e3600_r224_in1k/meta.json

convnext_zepto_rms_ols.ra4_e3600_r224_in1k/model.onnx ONNX

convnext_zepto_rms_ols.ra4_e3600_r224_in1k/preprocess.json

convnextv2_atto.fcmae/meta.json

convnextv2_atto.fcmae/model.onnx ONNX

convnextv2_atto.fcmae/preprocess.json

convnextv2_atto.fcmae_ft_in1k/meta.json

convnextv2_atto.fcmae_ft_in1k/model.onnx ONNX

convnextv2_atto.fcmae_ft_in1k/preprocess.json

convnextv2_base.fcmae/meta.json

convnextv2_base.fcmae/model.onnx ONNX

convnextv2_base.fcmae/preprocess.json

convnextv2_base.fcmae_ft_in1k/meta.json

convnextv2_base.fcmae_ft_in1k/model.onnx ONNX

convnextv2_base.fcmae_ft_in1k/preprocess.json

convnextv2_base.fcmae_ft_in22k_in1k/meta.json

convnextv2_base.fcmae_ft_in22k_in1k/model.onnx ONNX

convnextv2_base.fcmae_ft_in22k_in1k/preprocess.json

convnextv2_base.fcmae_ft_in22k_in1k_384/meta.json

convnextv2_base.fcmae_ft_in22k_in1k_384/model.onnx ONNX

convnextv2_base.fcmae_ft_in22k_in1k_384/preprocess.json

convnextv2_femto.fcmae/meta.json

convnextv2_femto.fcmae/model.onnx ONNX

convnextv2_femto.fcmae/preprocess.json

convnextv2_femto.fcmae_ft_in1k/meta.json

convnextv2_femto.fcmae_ft_in1k/model.onnx ONNX

convnextv2_femto.fcmae_ft_in1k/preprocess.json

convnextv2_large.fcmae/meta.json

convnextv2_large.fcmae/model.onnx ONNX

convnextv2_large.fcmae/preprocess.json

convnextv2_large.fcmae_ft_in1k/meta.json

convnextv2_large.fcmae_ft_in1k/model.onnx ONNX

convnextv2_large.fcmae_ft_in1k/preprocess.json

convnextv2_large.fcmae_ft_in22k_in1k/meta.json

convnextv2_large.fcmae_ft_in22k_in1k/model.onnx ONNX

convnextv2_large.fcmae_ft_in22k_in1k/preprocess.json

convnextv2_large.fcmae_ft_in22k_in1k_384/meta.json

convnextv2_large.fcmae_ft_in22k_in1k_384/model.onnx ONNX

convnextv2_large.fcmae_ft_in22k_in1k_384/preprocess.json

convnextv2_nano.fcmae/meta.json

convnextv2_nano.fcmae/model.onnx ONNX

convnextv2_nano.fcmae/preprocess.json

convnextv2_nano.fcmae_ft_in1k/meta.json

convnextv2_nano.fcmae_ft_in1k/model.onnx ONNX

convnextv2_nano.fcmae_ft_in1k/preprocess.json

convnextv2_nano.fcmae_ft_in22k_in1k/meta.json

convnextv2_nano.fcmae_ft_in22k_in1k/model.onnx ONNX

convnextv2_nano.fcmae_ft_in22k_in1k/preprocess.json

convnextv2_nano.fcmae_ft_in22k_in1k_384/meta.json

convnextv2_nano.fcmae_ft_in22k_in1k_384/model.onnx ONNX

convnextv2_nano.fcmae_ft_in22k_in1k_384/preprocess.json

convnextv2_pico.fcmae/meta.json

convnextv2_pico.fcmae/model.onnx ONNX

convnextv2_pico.fcmae/preprocess.json

convnextv2_pico.fcmae_ft_in1k/meta.json

convnextv2_pico.fcmae_ft_in1k/model.onnx ONNX

convnextv2_pico.fcmae_ft_in1k/preprocess.json

convnextv2_tiny.fcmae/meta.json

convnextv2_tiny.fcmae/model.onnx ONNX

convnextv2_tiny.fcmae/preprocess.json

convnextv2_tiny.fcmae_ft_in1k/meta.json

convnextv2_tiny.fcmae_ft_in1k/model.onnx ONNX

convnextv2_tiny.fcmae_ft_in1k/preprocess.json

convnextv2_tiny.fcmae_ft_in22k_in1k/meta.json

convnextv2_tiny.fcmae_ft_in22k_in1k/model.onnx ONNX

convnextv2_tiny.fcmae_ft_in22k_in1k/preprocess.json

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convnextv2_tiny.fcmae_ft_in22k_in1k_384/model.onnx ONNX

convnextv2_tiny.fcmae_ft_in22k_in1k_384/preprocess.json

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cs3darknet_focus_l.c2ns_in1k/model.onnx ONNX

cs3darknet_focus_l.c2ns_in1k/preprocess.json

cs3darknet_focus_m.c2ns_in1k/meta.json

cs3darknet_focus_m.c2ns_in1k/model.onnx ONNX

cs3darknet_focus_m.c2ns_in1k/preprocess.json

cs3darknet_focus_s.ra4_e3600_r256_in1k/meta.json

cs3darknet_focus_s.ra4_e3600_r256_in1k/model.onnx ONNX

cs3darknet_focus_s.ra4_e3600_r256_in1k/preprocess.json

cs3darknet_l.c2ns_in1k/meta.json

cs3darknet_l.c2ns_in1k/model.onnx ONNX

cs3darknet_l.c2ns_in1k/preprocess.json

cs3darknet_m.c2ns_in1k/meta.json

cs3darknet_m.c2ns_in1k/model.onnx ONNX

cs3darknet_m.c2ns_in1k/preprocess.json

cs3darknet_x.c2ns_in1k/meta.json

cs3darknet_x.c2ns_in1k/model.onnx ONNX

cs3darknet_x.c2ns_in1k/preprocess.json

cs3edgenet_x.c2_in1k/meta.json

cs3edgenet_x.c2_in1k/model.onnx ONNX

cs3edgenet_x.c2_in1k/preprocess.json

cs3se_edgenet_x.c2ns_in1k/meta.json

cs3se_edgenet_x.c2ns_in1k/model.onnx ONNX

cs3se_edgenet_x.c2ns_in1k/preprocess.json

cs3sedarknet_l.c2ns_in1k/meta.json

cs3sedarknet_l.c2ns_in1k/model.onnx ONNX

cs3sedarknet_l.c2ns_in1k/preprocess.json

cs3sedarknet_x.c2ns_in1k/meta.json

cs3sedarknet_x.c2ns_in1k/model.onnx ONNX

cs3sedarknet_x.c2ns_in1k/preprocess.json

cspdarknet53.ra_in1k/meta.json

cspdarknet53.ra_in1k/model.onnx ONNX

cspdarknet53.ra_in1k/preprocess.json

cspresnet50.ra_in1k/meta.json

cspresnet50.ra_in1k/model.onnx ONNX

cspresnet50.ra_in1k/preprocess.json

cspresnext50.ra_in1k/meta.json

cspresnext50.ra_in1k/model.onnx ONNX

cspresnext50.ra_in1k/preprocess.json

darknet53.c2ns_in1k/meta.json

darknet53.c2ns_in1k/model.onnx ONNX

darknet53.c2ns_in1k/preprocess.json

darknetaa53.c2ns_in1k/meta.json

darknetaa53.c2ns_in1k/model.onnx ONNX

darknetaa53.c2ns_in1k/preprocess.json

davit_base.msft_in1k/meta.json

davit_base.msft_in1k/model.onnx ONNX

davit_base.msft_in1k/preprocess.json

davit_small.msft_in1k/meta.json

davit_small.msft_in1k/model.onnx ONNX

davit_small.msft_in1k/preprocess.json

davit_tiny.msft_in1k/meta.json

davit_tiny.msft_in1k/model.onnx ONNX

davit_tiny.msft_in1k/preprocess.json

deit3_base_patch16_224.fb_in1k/meta.json

deit3_base_patch16_224.fb_in1k/model.onnx ONNX

deit3_base_patch16_224.fb_in1k/preprocess.json

deit3_base_patch16_224.fb_in22k_ft_in1k/meta.json

deit3_base_patch16_224.fb_in22k_ft_in1k/model.onnx ONNX

deit3_base_patch16_224.fb_in22k_ft_in1k/preprocess.json

deit3_base_patch16_384.fb_in1k/meta.json

deit3_base_patch16_384.fb_in1k/model.onnx ONNX

deit3_base_patch16_384.fb_in1k/preprocess.json

deit3_base_patch16_384.fb_in22k_ft_in1k/meta.json

deit3_base_patch16_384.fb_in22k_ft_in1k/model.onnx ONNX

deit3_base_patch16_384.fb_in22k_ft_in1k/preprocess.json

deit3_medium_patch16_224.fb_in1k/meta.json

deit3_medium_patch16_224.fb_in1k/model.onnx ONNX

deit3_medium_patch16_224.fb_in1k/preprocess.json

deit3_medium_patch16_224.fb_in22k_ft_in1k/meta.json

deit3_medium_patch16_224.fb_in22k_ft_in1k/model.onnx ONNX

deit3_medium_patch16_224.fb_in22k_ft_in1k/preprocess.json

deit3_small_patch16_224.fb_in1k/meta.json

deit3_small_patch16_224.fb_in1k/model.onnx ONNX

deit3_small_patch16_224.fb_in1k/preprocess.json

deit3_small_patch16_224.fb_in22k_ft_in1k/meta.json

deit3_small_patch16_224.fb_in22k_ft_in1k/model.onnx ONNX

deit3_small_patch16_224.fb_in22k_ft_in1k/preprocess.json

deit3_small_patch16_384.fb_in1k/meta.json

deit3_small_patch16_384.fb_in1k/model.onnx ONNX

deit3_small_patch16_384.fb_in1k/preprocess.json

deit3_small_patch16_384.fb_in22k_ft_in1k/meta.json

deit3_small_patch16_384.fb_in22k_ft_in1k/model.onnx ONNX

deit3_small_patch16_384.fb_in22k_ft_in1k/preprocess.json

deit_base_patch16_224.fb_in1k/meta.json

deit_base_patch16_224.fb_in1k/model.onnx ONNX

deit_base_patch16_224.fb_in1k/preprocess.json

deit_base_patch16_384.fb_in1k/meta.json

deit_base_patch16_384.fb_in1k/model.onnx ONNX

deit_base_patch16_384.fb_in1k/preprocess.json

deit_small_patch16_224.fb_in1k/meta.json

deit_small_patch16_224.fb_in1k/model.onnx ONNX

deit_small_patch16_224.fb_in1k/preprocess.json

deit_tiny_patch16_224.fb_in1k/meta.json

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deit_tiny_patch16_224.fb_in1k/preprocess.json

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densenet121.ra_in1k/model.onnx ONNX

densenet121.ra_in1k/preprocess.json

densenet121.tv_in1k/meta.json

densenet121.tv_in1k/model.onnx ONNX

densenet121.tv_in1k/preprocess.json

densenet161.tv_in1k/meta.json

densenet161.tv_in1k/model.onnx ONNX

densenet161.tv_in1k/preprocess.json

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densenet169.tv_in1k/model.onnx ONNX

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densenet201.tv_in1k/model.onnx ONNX

densenet201.tv_in1k/preprocess.json

densenetblur121d.ra_in1k/meta.json

densenetblur121d.ra_in1k/model.onnx ONNX

densenetblur121d.ra_in1k/preprocess.json

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dla102.in1k/preprocess.json

dla102x.in1k/meta.json

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dla102x.in1k/preprocess.json

dla102x2.in1k/meta.json

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dla169.in1k/preprocess.json

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dla34.in1k/preprocess.json

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dla46_c.in1k/model.onnx ONNX

dla46_c.in1k/preprocess.json

dla46x_c.in1k/meta.json

dla46x_c.in1k/model.onnx ONNX

dla46x_c.in1k/preprocess.json

dla60.in1k/meta.json

dla60.in1k/model.onnx ONNX

dla60.in1k/preprocess.json

dla60_res2net.in1k/meta.json

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dla60_res2net.in1k/preprocess.json

dla60_res2next.in1k/meta.json

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dla60_res2next.in1k/preprocess.json

dla60x.in1k/meta.json

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dla60x.in1k/preprocess.json

dla60x_c.in1k/meta.json

dla60x_c.in1k/model.onnx ONNX

dla60x_c.in1k/preprocess.json

dm_nfnet_f0.dm_in1k/meta.json

dm_nfnet_f0.dm_in1k/model.onnx ONNX

dm_nfnet_f0.dm_in1k/preprocess.json

dm_nfnet_f1.dm_in1k/meta.json

dm_nfnet_f1.dm_in1k/model.onnx ONNX

dm_nfnet_f1.dm_in1k/preprocess.json

dm_nfnet_f2.dm_in1k/meta.json

dm_nfnet_f2.dm_in1k/model.onnx ONNX

dm_nfnet_f2.dm_in1k/preprocess.json

dm_nfnet_f3.dm_in1k/meta.json

dm_nfnet_f3.dm_in1k/model.onnx ONNX

dm_nfnet_f3.dm_in1k/preprocess.json

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dpn68.mx_in1k/meta.json

dpn68.mx_in1k/model.onnx ONNX

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dpn68b.mx_in1k/meta.json

dpn68b.mx_in1k/model.onnx ONNX

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dpn68b.ra_in1k/meta.json

dpn68b.ra_in1k/model.onnx ONNX

dpn68b.ra_in1k/preprocess.json

dpn92.mx_in1k/meta.json

dpn92.mx_in1k/model.onnx ONNX

dpn92.mx_in1k/preprocess.json

dpn98.mx_in1k/meta.json

dpn98.mx_in1k/model.onnx ONNX

dpn98.mx_in1k/preprocess.json

eca_botnext26ts_256.c1_in1k/meta.json

eca_botnext26ts_256.c1_in1k/model.onnx ONNX

eca_botnext26ts_256.c1_in1k/preprocess.json

eca_nfnet_l0.ra2_in1k/meta.json

eca_nfnet_l0.ra2_in1k/model.onnx ONNX

eca_nfnet_l0.ra2_in1k/preprocess.json

eca_nfnet_l1.ra2_in1k/meta.json

eca_nfnet_l1.ra2_in1k/model.onnx ONNX

eca_nfnet_l1.ra2_in1k/preprocess.json

eca_nfnet_l2.ra3_in1k/meta.json

eca_nfnet_l2.ra3_in1k/model.onnx ONNX

eca_nfnet_l2.ra3_in1k/preprocess.json

eca_resnet33ts.ra2_in1k/meta.json

eca_resnet33ts.ra2_in1k/model.onnx ONNX

eca_resnet33ts.ra2_in1k/preprocess.json

eca_resnext26ts.ch_in1k/meta.json

eca_resnext26ts.ch_in1k/model.onnx ONNX

eca_resnext26ts.ch_in1k/preprocess.json

ecaresnet101d.miil_in1k/meta.json

ecaresnet101d.miil_in1k/model.onnx ONNX

ecaresnet101d.miil_in1k/preprocess.json

ecaresnet101d_pruned.miil_in1k/meta.json

ecaresnet101d_pruned.miil_in1k/model.onnx ONNX

ecaresnet101d_pruned.miil_in1k/preprocess.json

ecaresnet269d.ra2_in1k/meta.json

ecaresnet269d.ra2_in1k/model.onnx ONNX

ecaresnet269d.ra2_in1k/preprocess.json

ecaresnet26t.ra2_in1k/meta.json

ecaresnet26t.ra2_in1k/model.onnx ONNX

ecaresnet26t.ra2_in1k/preprocess.json

ecaresnet50d.miil_in1k/meta.json

ecaresnet50d.miil_in1k/model.onnx ONNX

ecaresnet50d.miil_in1k/preprocess.json

ecaresnet50d_pruned.miil_in1k/meta.json

ecaresnet50d_pruned.miil_in1k/model.onnx ONNX

ecaresnet50d_pruned.miil_in1k/preprocess.json

ecaresnet50t.a1_in1k/meta.json

ecaresnet50t.a1_in1k/model.onnx ONNX

ecaresnet50t.a1_in1k/preprocess.json

ecaresnet50t.a2_in1k/meta.json

ecaresnet50t.a2_in1k/model.onnx ONNX

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ecaresnet50t.a3_in1k/meta.json

ecaresnet50t.a3_in1k/model.onnx ONNX

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ecaresnet50t.ra2_in1k/meta.json

ecaresnet50t.ra2_in1k/model.onnx ONNX

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ecaresnetlight.miil_in1k/meta.json

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edgenext_base.in21k_ft_in1k/meta.json

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edgenext_base.usi_in1k/meta.json

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edgenext_small.usi_in1k/meta.json

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edgenext_small_rw.sw_in1k/meta.json

edgenext_small_rw.sw_in1k/model.onnx ONNX

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edgenext_x_small.in1k/meta.json

edgenext_x_small.in1k/model.onnx ONNX

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edgenext_xx_small.in1k/meta.json

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efficientnet_b0.ra_in1k/meta.json

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efficientnet_b1.ft_in1k/meta.json

efficientnet_b1.ft_in1k/model.onnx ONNX

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efficientnet_b1.ra4_e3600_r240_in1k/meta.json

efficientnet_b1.ra4_e3600_r240_in1k/model.onnx ONNX

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efficientnet_b1_pruned.in1k/meta.json

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efficientnet_b2.ra_in1k/meta.json

efficientnet_b2.ra_in1k/model.onnx ONNX

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efficientnet_b2_pruned.in1k/meta.json

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efficientnet_b3.ra2_in1k/meta.json

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efficientnet_b3_pruned.in1k/meta.json

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efficientnet_b4.ra2_in1k/meta.json

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efficientnet_b5.sw_in12k/meta.json

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efficientnet_b5.sw_in12k_ft_in1k/meta.json

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efficientnet_el.ra_in1k/meta.json

efficientnet_el.ra_in1k/model.onnx ONNX

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efficientnet_el_pruned.in1k/meta.json

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efficientnet_em.ra2_in1k/meta.json

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efficientnet_es.ra_in1k/meta.json

efficientnet_es.ra_in1k/model.onnx ONNX

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efficientnet_es_pruned.in1k/meta.json

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efficientnet_lite0.ra_in1k/meta.json

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efficientnetv2_rw_m.agc_in1k/meta.json

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efficientnetv2_rw_s.ra2_in1k/meta.json

efficientnetv2_rw_s.ra2_in1k/model.onnx ONNX

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efficientnetv2_rw_t.ra2_in1k/meta.json

efficientnetv2_rw_t.ra2_in1k/model.onnx ONNX

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efficientvit_b0.r224_in1k/meta.json

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efficientvit_b1.r224_in1k/meta.json

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efficientvit_b1.r256_in1k/meta.json

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efficientvit_b1.r288_in1k/meta.json

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efficientvit_b2.r224_in1k/meta.json

efficientvit_b2.r224_in1k/model.onnx ONNX

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efficientvit_b2.r256_in1k/meta.json

efficientvit_b2.r256_in1k/model.onnx ONNX

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efficientvit_b2.r288_in1k/meta.json

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efficientvit_b3.r224_in1k/meta.json

efficientvit_b3.r224_in1k/model.onnx ONNX

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efficientvit_b3.r256_in1k/meta.json

efficientvit_b3.r256_in1k/model.onnx ONNX

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efficientvit_b3.r288_in1k/meta.json

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efficientvit_l2.r224_in1k/meta.json

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efficientvit_l2.r384_in1k/meta.json

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efficientvit_l3.r320_in1k/meta.json

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efficientvit_l3.r384_in1k/meta.json

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efficientvit_m5.r224_in1k/meta.json

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eva02_base_patch14_448.mim_in22k_ft_in22k_in1k/meta.json

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eva02_small_patch14_224.mim_in22k/meta.json

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eva02_small_patch14_336.mim_in22k_ft_in1k/meta.json

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eva02_tiny_patch14_224.mim_in22k/meta.json

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eva02_tiny_patch14_336.mim_in22k_ft_in1k/model.onnx ONNX

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fastvit_ma36.apple_in1k/meta.json

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fastvit_sa12.apple_in1k/meta.json

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fastvit_sa24.apple_dist_in1k/meta.json

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fastvit_sa24.apple_in1k/meta.json

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fastvit_sa36.apple_in1k/model.onnx ONNX

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fastvit_t12.apple_in1k/meta.json

fastvit_t12.apple_in1k/model.onnx ONNX

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fastvit_t8.apple_dist_in1k/meta.json

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fastvit_t8.apple_in1k/meta.json

fastvit_t8.apple_in1k/model.onnx ONNX

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fbnetc_100.rmsp_in1k/meta.json

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fbnetv3_b.ra2_in1k/meta.json

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fbnetv3_b.ra2_in1k/preprocess.json

fbnetv3_d.ra2_in1k/meta.json

fbnetv3_d.ra2_in1k/model.onnx ONNX

fbnetv3_d.ra2_in1k/preprocess.json

fbnetv3_g.ra2_in1k/meta.json

fbnetv3_g.ra2_in1k/model.onnx ONNX

fbnetv3_g.ra2_in1k/preprocess.json

flexivit_base.1000ep_in21k/meta.json

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flexivit_base.1200ep_in1k/meta.json

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flexivit_base.300ep_in1k/meta.json

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flexivit_base.300ep_in21k/meta.json

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flexivit_base.600ep_in1k/meta.json

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flexivit_base.patch16_in21k/meta.json

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flexivit_base.patch30_in21k/meta.json

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flexivit_small.1200ep_in1k/meta.json

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flexivit_small.300ep_in1k/meta.json

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flexivit_small.600ep_in1k/meta.json

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focalnet_base_lrf.ms_in1k/meta.json

focalnet_base_lrf.ms_in1k/model.onnx ONNX

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focalnet_base_srf.ms_in1k/meta.json

focalnet_base_srf.ms_in1k/model.onnx ONNX

focalnet_base_srf.ms_in1k/preprocess.json

focalnet_large_fl3.ms_in22k/meta.json

focalnet_large_fl3.ms_in22k/model.onnx ONNX

focalnet_large_fl3.ms_in22k/preprocess.json

focalnet_large_fl4.ms_in22k/meta.json

focalnet_large_fl4.ms_in22k/model.onnx ONNX

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focalnet_small_lrf.ms_in1k/meta.json

focalnet_small_lrf.ms_in1k/model.onnx ONNX

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focalnet_small_srf.ms_in1k/meta.json

focalnet_small_srf.ms_in1k/model.onnx ONNX

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focalnet_tiny_lrf.ms_in1k/meta.json

focalnet_tiny_lrf.ms_in1k/model.onnx ONNX

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focalnet_tiny_srf.ms_in1k/meta.json

focalnet_tiny_srf.ms_in1k/model.onnx ONNX

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gcresnet50t.ra2_in1k/meta.json

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gcresnext26ts.ch_in1k/meta.json

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gcresnext50ts.ch_in1k/meta.json

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gernet_l.idstcv_in1k/meta.json

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gernet_m.idstcv_in1k/meta.json

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gernet_s.idstcv_in1k/meta.json

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ghostnet_100.in1k/meta.json

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ghostnetv2_100.in1k/meta.json

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ghostnetv2_160.in1k/meta.json

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gmlp_s16_224.ra3_in1k/meta.json

gmlp_s16_224.ra3_in1k/model.onnx ONNX

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hardcorenas_a.miil_green_in1k/meta.json

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hardcorenas_b.miil_green_in1k/model.onnx ONNX

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hardcorenas_c.miil_green_in1k/meta.json

hardcorenas_c.miil_green_in1k/model.onnx ONNX

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hardcorenas_d.miil_green_in1k/meta.json

hardcorenas_d.miil_green_in1k/model.onnx ONNX

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hardcorenas_e.miil_green_in1k/meta.json

hardcorenas_e.miil_green_in1k/model.onnx ONNX

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hardcorenas_f.miil_green_in1k/meta.json

hardcorenas_f.miil_green_in1k/model.onnx ONNX

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hgnet_base.ssld_in1k/meta.json

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hgnet_small.paddle_in1k/meta.json

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hgnet_small.ssld_in1k/meta.json

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hgnet_tiny.paddle_in1k/meta.json

hgnet_tiny.paddle_in1k/model.onnx ONNX

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hgnet_tiny.ssld_in1k/meta.json

hgnet_tiny.ssld_in1k/model.onnx ONNX

hgnet_tiny.ssld_in1k/preprocess.json

hgnetv2_b0.ssld_stage1_in22k_in1k/meta.json

hgnetv2_b0.ssld_stage1_in22k_in1k/model.onnx ONNX

hgnetv2_b0.ssld_stage1_in22k_in1k/preprocess.json

hgnetv2_b0.ssld_stage2_ft_in1k/meta.json

hgnetv2_b0.ssld_stage2_ft_in1k/model.onnx ONNX

hgnetv2_b0.ssld_stage2_ft_in1k/preprocess.json

hgnetv2_b1.ssld_stage1_in22k_in1k/meta.json

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hiera_base_224.mae/meta.json

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hiera_base_224.mae_in1k_ft_in1k/meta.json

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hrnet_w18.ms_aug_in1k/meta.json

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inception_next_atto.sail_in1k/meta.json

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lcnet_050.ra2_in1k/meta.json

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lcnet_075.ra2_in1k/meta.json

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mambaout_base.in1k/meta.json

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mobilenetv2_110d.ra_in1k/preprocess.json

mobilenetv2_120d.ra_in1k/meta.json

mobilenetv2_120d.ra_in1k/model.onnx ONNX

mobilenetv2_120d.ra_in1k/preprocess.json

mobilenetv2_140.ra_in1k/meta.json

mobilenetv2_140.ra_in1k/model.onnx ONNX

mobilenetv2_140.ra_in1k/preprocess.json

mobilenetv3_large_100.miil_in21k/meta.json

mobilenetv3_large_100.miil_in21k/model.onnx ONNX

mobilenetv3_large_100.miil_in21k/preprocess.json

mobilenetv3_large_100.miil_in21k_ft_in1k/meta.json

mobilenetv3_large_100.miil_in21k_ft_in1k/model.onnx ONNX

mobilenetv3_large_100.miil_in21k_ft_in1k/preprocess.json

mobilenetv3_large_100.ra4_e3600_r224_in1k/meta.json

mobilenetv3_large_100.ra4_e3600_r224_in1k/model.onnx ONNX

mobilenetv3_large_100.ra4_e3600_r224_in1k/preprocess.json

mobilenetv3_large_100.ra_in1k/meta.json

mobilenetv3_large_100.ra_in1k/model.onnx ONNX

mobilenetv3_large_100.ra_in1k/preprocess.json

mobilenetv3_large_150d.ra4_e3600_r256_in1k/meta.json

mobilenetv3_large_150d.ra4_e3600_r256_in1k/model.onnx ONNX

mobilenetv3_large_150d.ra4_e3600_r256_in1k/preprocess.json

mobilenetv3_rw.rmsp_in1k/meta.json

mobilenetv3_rw.rmsp_in1k/model.onnx ONNX

mobilenetv3_rw.rmsp_in1k/preprocess.json

mobilenetv3_small_050.lamb_in1k/meta.json

mobilenetv3_small_050.lamb_in1k/model.onnx ONNX

mobilenetv3_small_050.lamb_in1k/preprocess.json

mobilenetv3_small_075.lamb_in1k/meta.json

mobilenetv3_small_075.lamb_in1k/model.onnx ONNX

mobilenetv3_small_075.lamb_in1k/preprocess.json

mobilenetv3_small_100.lamb_in1k/meta.json

mobilenetv3_small_100.lamb_in1k/model.onnx ONNX

mobilenetv3_small_100.lamb_in1k/preprocess.json

mobilenetv4_conv_aa_large.e230_r384_in12k/meta.json

mobilenetv4_conv_aa_large.e230_r384_in12k/model.onnx ONNX

mobilenetv4_conv_aa_large.e230_r384_in12k/preprocess.json

mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k/meta.json

mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k/model.onnx ONNX

mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k/preprocess.json

mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k/meta.json

mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k/model.onnx ONNX

mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k/preprocess.json

mobilenetv4_conv_aa_large.e600_r384_in1k/meta.json

mobilenetv4_conv_aa_large.e600_r384_in1k/model.onnx ONNX

mobilenetv4_conv_aa_large.e600_r384_in1k/preprocess.json

mobilenetv4_conv_blur_medium.e500_r224_in1k/meta.json

mobilenetv4_conv_blur_medium.e500_r224_in1k/model.onnx ONNX

mobilenetv4_conv_blur_medium.e500_r224_in1k/preprocess.json

mobilenetv4_conv_large.e500_r256_in1k/meta.json

mobilenetv4_conv_large.e500_r256_in1k/model.onnx ONNX

mobilenetv4_conv_large.e500_r256_in1k/preprocess.json

mobilenetv4_conv_large.e600_r384_in1k/meta.json

mobilenetv4_conv_large.e600_r384_in1k/model.onnx ONNX

mobilenetv4_conv_large.e600_r384_in1k/preprocess.json

mobilenetv4_conv_medium.e180_ad_r384_in12k/meta.json

mobilenetv4_conv_medium.e180_ad_r384_in12k/model.onnx ONNX

mobilenetv4_conv_medium.e180_ad_r384_in12k/preprocess.json

mobilenetv4_conv_medium.e180_r384_in12k/meta.json

mobilenetv4_conv_medium.e180_r384_in12k/model.onnx ONNX

mobilenetv4_conv_medium.e180_r384_in12k/preprocess.json

mobilenetv4_conv_medium.e250_r384_in12k/meta.json

mobilenetv4_conv_medium.e250_r384_in12k/model.onnx ONNX

mobilenetv4_conv_medium.e250_r384_in12k/preprocess.json

mobilenetv4_conv_medium.e250_r384_in12k_ft_in1k/meta.json

mobilenetv4_conv_medium.e250_r384_in12k_ft_in1k/model.onnx ONNX

mobilenetv4_conv_medium.e250_r384_in12k_ft_in1k/preprocess.json

mobilenetv4_conv_medium.e500_r224_in1k/meta.json

mobilenetv4_conv_medium.e500_r224_in1k/model.onnx ONNX

mobilenetv4_conv_medium.e500_r224_in1k/preprocess.json

mobilenetv4_conv_medium.e500_r256_in1k/meta.json

mobilenetv4_conv_medium.e500_r256_in1k/model.onnx ONNX

mobilenetv4_conv_medium.e500_r256_in1k/preprocess.json

mobilenetv4_conv_small.e1200_r224_in1k/meta.json

mobilenetv4_conv_small.e1200_r224_in1k/model.onnx ONNX

mobilenetv4_conv_small.e1200_r224_in1k/preprocess.json

mobilenetv4_conv_small.e2400_r224_in1k/meta.json

mobilenetv4_conv_small.e2400_r224_in1k/model.onnx ONNX

mobilenetv4_conv_small.e2400_r224_in1k/preprocess.json

mobilenetv4_conv_small.e3600_r256_in1k/meta.json

mobilenetv4_conv_small.e3600_r256_in1k/model.onnx ONNX

mobilenetv4_conv_small.e3600_r256_in1k/preprocess.json

mobilenetv4_conv_small_050.e3000_r224_in1k/meta.json

mobilenetv4_conv_small_050.e3000_r224_in1k/model.onnx ONNX

mobilenetv4_conv_small_050.e3000_r224_in1k/preprocess.json

mobilenetv4_hybrid_large.e600_r384_in1k/meta.json

mobilenetv4_hybrid_large.e600_r384_in1k/model.onnx ONNX

mobilenetv4_hybrid_large.e600_r384_in1k/preprocess.json

mobilenetv4_hybrid_large.ix_e600_r384_in1k/meta.json

mobilenetv4_hybrid_large.ix_e600_r384_in1k/model.onnx ONNX

mobilenetv4_hybrid_large.ix_e600_r384_in1k/preprocess.json

mobilenetv4_hybrid_medium.e200_r256_in12k/meta.json

mobilenetv4_hybrid_medium.e200_r256_in12k/model.onnx ONNX

mobilenetv4_hybrid_medium.e200_r256_in12k/preprocess.json

mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k/meta.json

mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k/model.onnx ONNX

mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k/preprocess.json

mobilenetv4_hybrid_medium.e500_r224_in1k/meta.json

mobilenetv4_hybrid_medium.e500_r224_in1k/model.onnx ONNX

mobilenetv4_hybrid_medium.e500_r224_in1k/preprocess.json

mobilenetv4_hybrid_medium.ix_e550_r256_in1k/meta.json

mobilenetv4_hybrid_medium.ix_e550_r256_in1k/model.onnx ONNX

mobilenetv4_hybrid_medium.ix_e550_r256_in1k/preprocess.json

mobilenetv4_hybrid_medium.ix_e550_r384_in1k/meta.json

mobilenetv4_hybrid_medium.ix_e550_r384_in1k/model.onnx ONNX

mobilenetv4_hybrid_medium.ix_e550_r384_in1k/preprocess.json

mobileone_s0.apple_in1k/meta.json

mobileone_s0.apple_in1k/model.onnx ONNX

mobileone_s0.apple_in1k/preprocess.json

mobileone_s1.apple_in1k/meta.json

mobileone_s1.apple_in1k/model.onnx ONNX

mobileone_s1.apple_in1k/preprocess.json

mobileone_s2.apple_in1k/meta.json

mobileone_s2.apple_in1k/model.onnx ONNX

mobileone_s2.apple_in1k/preprocess.json

mobileone_s3.apple_in1k/meta.json

mobileone_s3.apple_in1k/model.onnx ONNX

mobileone_s3.apple_in1k/preprocess.json

mobileone_s4.apple_in1k/meta.json

mobileone_s4.apple_in1k/model.onnx ONNX

mobileone_s4.apple_in1k/preprocess.json

mobilevit_s.cvnets_in1k/meta.json

mobilevit_s.cvnets_in1k/model.onnx ONNX

mobilevit_s.cvnets_in1k/preprocess.json

mobilevit_xs.cvnets_in1k/meta.json

mobilevit_xs.cvnets_in1k/model.onnx ONNX

mobilevit_xs.cvnets_in1k/preprocess.json

mobilevit_xxs.cvnets_in1k/meta.json

mobilevit_xxs.cvnets_in1k/model.onnx ONNX

mobilevit_xxs.cvnets_in1k/preprocess.json

mobilevitv2_050.cvnets_in1k/meta.json

mobilevitv2_050.cvnets_in1k/model.onnx ONNX

mobilevitv2_050.cvnets_in1k/preprocess.json

mobilevitv2_075.cvnets_in1k/meta.json

mobilevitv2_075.cvnets_in1k/model.onnx ONNX

mobilevitv2_075.cvnets_in1k/preprocess.json

mobilevitv2_100.cvnets_in1k/meta.json

mobilevitv2_100.cvnets_in1k/model.onnx ONNX

mobilevitv2_100.cvnets_in1k/preprocess.json

mobilevitv2_125.cvnets_in1k/meta.json

mobilevitv2_125.cvnets_in1k/model.onnx ONNX

mobilevitv2_125.cvnets_in1k/preprocess.json

mobilevitv2_150.cvnets_in1k/meta.json

mobilevitv2_150.cvnets_in1k/model.onnx ONNX

mobilevitv2_150.cvnets_in1k/preprocess.json

mobilevitv2_150.cvnets_in22k_ft_in1k/meta.json

mobilevitv2_150.cvnets_in22k_ft_in1k/model.onnx ONNX

mobilevitv2_150.cvnets_in22k_ft_in1k/preprocess.json

mobilevitv2_150.cvnets_in22k_ft_in1k_384/meta.json

mobilevitv2_150.cvnets_in22k_ft_in1k_384/model.onnx ONNX

mobilevitv2_150.cvnets_in22k_ft_in1k_384/preprocess.json

mobilevitv2_175.cvnets_in1k/meta.json

mobilevitv2_175.cvnets_in1k/model.onnx ONNX

mobilevitv2_175.cvnets_in1k/preprocess.json

mobilevitv2_175.cvnets_in22k_ft_in1k/meta.json

mobilevitv2_175.cvnets_in22k_ft_in1k/model.onnx ONNX

mobilevitv2_175.cvnets_in22k_ft_in1k/preprocess.json

mobilevitv2_175.cvnets_in22k_ft_in1k_384/meta.json

mobilevitv2_175.cvnets_in22k_ft_in1k_384/model.onnx ONNX

mobilevitv2_175.cvnets_in22k_ft_in1k_384/preprocess.json

mobilevitv2_200.cvnets_in1k/meta.json

mobilevitv2_200.cvnets_in1k/model.onnx ONNX

mobilevitv2_200.cvnets_in1k/preprocess.json

mobilevitv2_200.cvnets_in22k_ft_in1k/meta.json

mobilevitv2_200.cvnets_in22k_ft_in1k/model.onnx ONNX

mobilevitv2_200.cvnets_in22k_ft_in1k/preprocess.json

mobilevitv2_200.cvnets_in22k_ft_in1k_384/meta.json

mobilevitv2_200.cvnets_in22k_ft_in1k_384/model.onnx ONNX

mobilevitv2_200.cvnets_in22k_ft_in1k_384/preprocess.json

models.parquet

mvitv2_base.fb_in1k/meta.json

mvitv2_base.fb_in1k/model.onnx ONNX

mvitv2_base.fb_in1k/preprocess.json

mvitv2_large.fb_in1k/meta.json

mvitv2_large.fb_in1k/model.onnx ONNX

mvitv2_large.fb_in1k/preprocess.json

mvitv2_small.fb_in1k/meta.json

mvitv2_small.fb_in1k/model.onnx ONNX

mvitv2_small.fb_in1k/preprocess.json

mvitv2_tiny.fb_in1k/meta.json

mvitv2_tiny.fb_in1k/model.onnx ONNX

mvitv2_tiny.fb_in1k/preprocess.json

nasnetalarge.tf_in1k/meta.json

nasnetalarge.tf_in1k/model.onnx ONNX

nasnetalarge.tf_in1k/preprocess.json

nest_base_jx.goog_in1k/meta.json

nest_base_jx.goog_in1k/model.onnx ONNX

nest_base_jx.goog_in1k/preprocess.json

nest_small_jx.goog_in1k/meta.json

nest_small_jx.goog_in1k/model.onnx ONNX

nest_small_jx.goog_in1k/preprocess.json

nest_tiny_jx.goog_in1k/meta.json

nest_tiny_jx.goog_in1k/model.onnx ONNX

nest_tiny_jx.goog_in1k/preprocess.json

nextvit_base.bd_in1k/meta.json

nextvit_base.bd_in1k/model.onnx ONNX

nextvit_base.bd_in1k/preprocess.json

nextvit_base.bd_in1k_384/meta.json

nextvit_base.bd_in1k_384/model.onnx ONNX

nextvit_base.bd_in1k_384/preprocess.json

nextvit_base.bd_ssld_6m_in1k/meta.json

nextvit_base.bd_ssld_6m_in1k/model.onnx ONNX

nextvit_base.bd_ssld_6m_in1k/preprocess.json

nextvit_base.bd_ssld_6m_in1k_384/meta.json

nextvit_base.bd_ssld_6m_in1k_384/model.onnx ONNX

nextvit_base.bd_ssld_6m_in1k_384/preprocess.json

nextvit_large.bd_in1k/meta.json

nextvit_large.bd_in1k/model.onnx ONNX

nextvit_large.bd_in1k/preprocess.json

nextvit_large.bd_in1k_384/meta.json

nextvit_large.bd_in1k_384/model.onnx ONNX

nextvit_large.bd_in1k_384/preprocess.json

nextvit_large.bd_ssld_6m_in1k/meta.json

nextvit_large.bd_ssld_6m_in1k/model.onnx ONNX

nextvit_large.bd_ssld_6m_in1k/preprocess.json

nextvit_large.bd_ssld_6m_in1k_384/meta.json

nextvit_large.bd_ssld_6m_in1k_384/model.onnx ONNX

nextvit_large.bd_ssld_6m_in1k_384/preprocess.json

nextvit_small.bd_in1k/meta.json

nextvit_small.bd_in1k/model.onnx ONNX

nextvit_small.bd_in1k/preprocess.json

nextvit_small.bd_in1k_384/meta.json

nextvit_small.bd_in1k_384/model.onnx ONNX

nextvit_small.bd_in1k_384/preprocess.json

nextvit_small.bd_ssld_6m_in1k/meta.json

nextvit_small.bd_ssld_6m_in1k/model.onnx ONNX

nextvit_small.bd_ssld_6m_in1k/preprocess.json

nextvit_small.bd_ssld_6m_in1k_384/meta.json

nextvit_small.bd_ssld_6m_in1k_384/model.onnx ONNX

nextvit_small.bd_ssld_6m_in1k_384/preprocess.json

nf_regnet_b1.ra2_in1k/meta.json

nf_regnet_b1.ra2_in1k/model.onnx ONNX

nf_regnet_b1.ra2_in1k/preprocess.json

nf_resnet50.ra2_in1k/meta.json

nf_resnet50.ra2_in1k/model.onnx ONNX

nf_resnet50.ra2_in1k/preprocess.json

nfnet_l0.ra2_in1k/meta.json

nfnet_l0.ra2_in1k/model.onnx ONNX

nfnet_l0.ra2_in1k/preprocess.json

pit_b_224.in1k/meta.json

pit_b_224.in1k/model.onnx ONNX

pit_b_224.in1k/preprocess.json

pit_s_224.in1k/meta.json

pit_s_224.in1k/model.onnx ONNX

pit_s_224.in1k/preprocess.json

pit_ti_224.in1k/meta.json

pit_ti_224.in1k/model.onnx ONNX

pit_ti_224.in1k/preprocess.json

pit_xs_224.in1k/meta.json

pit_xs_224.in1k/model.onnx ONNX

pit_xs_224.in1k/preprocess.json

pnasnet5large.tf_in1k/meta.json

pnasnet5large.tf_in1k/model.onnx ONNX

pnasnet5large.tf_in1k/preprocess.json

poolformer_m36.sail_in1k/meta.json

poolformer_m36.sail_in1k/model.onnx ONNX

poolformer_m36.sail_in1k/preprocess.json

poolformer_m48.sail_in1k/meta.json

poolformer_m48.sail_in1k/model.onnx ONNX

poolformer_m48.sail_in1k/preprocess.json

poolformer_s12.sail_in1k/meta.json

poolformer_s12.sail_in1k/model.onnx ONNX

poolformer_s12.sail_in1k/preprocess.json

poolformer_s24.sail_in1k/meta.json

poolformer_s24.sail_in1k/model.onnx ONNX

poolformer_s24.sail_in1k/preprocess.json

poolformer_s36.sail_in1k/meta.json

poolformer_s36.sail_in1k/model.onnx ONNX

poolformer_s36.sail_in1k/preprocess.json

poolformerv2_m36.sail_in1k/meta.json

poolformerv2_m36.sail_in1k/model.onnx ONNX

poolformerv2_m36.sail_in1k/preprocess.json

poolformerv2_m48.sail_in1k/meta.json

poolformerv2_m48.sail_in1k/model.onnx ONNX

poolformerv2_m48.sail_in1k/preprocess.json

poolformerv2_s12.sail_in1k/meta.json

poolformerv2_s12.sail_in1k/model.onnx ONNX

poolformerv2_s12.sail_in1k/preprocess.json

poolformerv2_s24.sail_in1k/meta.json

poolformerv2_s24.sail_in1k/model.onnx ONNX

poolformerv2_s24.sail_in1k/preprocess.json

poolformerv2_s36.sail_in1k/meta.json

poolformerv2_s36.sail_in1k/model.onnx ONNX

poolformerv2_s36.sail_in1k/preprocess.json

pvt_v2_b0.in1k/meta.json

pvt_v2_b0.in1k/model.onnx ONNX

pvt_v2_b0.in1k/preprocess.json

pvt_v2_b1.in1k/meta.json

pvt_v2_b1.in1k/model.onnx ONNX

pvt_v2_b1.in1k/preprocess.json

pvt_v2_b2.in1k/meta.json

pvt_v2_b2.in1k/model.onnx ONNX

pvt_v2_b2.in1k/preprocess.json

pvt_v2_b3.in1k/meta.json

pvt_v2_b3.in1k/model.onnx ONNX

pvt_v2_b3.in1k/preprocess.json

pvt_v2_b4.in1k/meta.json

pvt_v2_b4.in1k/model.onnx ONNX

pvt_v2_b4.in1k/preprocess.json

pvt_v2_b5.in1k/meta.json

pvt_v2_b5.in1k/model.onnx ONNX

pvt_v2_b5.in1k/preprocess.json

regnetv_040.ra3_in1k/meta.json

regnetv_040.ra3_in1k/model.onnx ONNX

regnetv_040.ra3_in1k/preprocess.json

regnetv_064.ra3_in1k/meta.json

regnetv_064.ra3_in1k/model.onnx ONNX

regnetv_064.ra3_in1k/preprocess.json

regnetx_002.pycls_in1k/meta.json

regnetx_002.pycls_in1k/model.onnx ONNX

regnetx_002.pycls_in1k/preprocess.json

regnetx_004.pycls_in1k/meta.json

regnetx_004.pycls_in1k/model.onnx ONNX

regnetx_004.pycls_in1k/preprocess.json

regnetx_004_tv.tv2_in1k/meta.json

regnetx_004_tv.tv2_in1k/model.onnx ONNX

regnetx_004_tv.tv2_in1k/preprocess.json

regnetx_006.pycls_in1k/meta.json

regnetx_006.pycls_in1k/model.onnx ONNX

regnetx_006.pycls_in1k/preprocess.json

regnetx_008.pycls_in1k/meta.json

regnetx_008.pycls_in1k/model.onnx ONNX

regnetx_008.pycls_in1k/preprocess.json

regnetx_008.tv2_in1k/meta.json

regnetx_008.tv2_in1k/model.onnx ONNX

regnetx_008.tv2_in1k/preprocess.json

regnetx_016.pycls_in1k/meta.json

regnetx_016.pycls_in1k/model.onnx ONNX

regnetx_016.pycls_in1k/preprocess.json

regnetx_016.tv2_in1k/meta.json

regnetx_016.tv2_in1k/model.onnx ONNX

regnetx_016.tv2_in1k/preprocess.json

regnetx_032.pycls_in1k/meta.json

regnetx_032.pycls_in1k/model.onnx ONNX

regnetx_032.pycls_in1k/preprocess.json

regnetx_032.tv2_in1k/meta.json

regnetx_032.tv2_in1k/model.onnx ONNX

regnetx_032.tv2_in1k/preprocess.json

regnetx_040.pycls_in1k/meta.json

regnetx_040.pycls_in1k/model.onnx ONNX

regnetx_040.pycls_in1k/preprocess.json

regnetx_064.pycls_in1k/meta.json

regnetx_064.pycls_in1k/model.onnx ONNX

regnetx_064.pycls_in1k/preprocess.json

regnetx_080.pycls_in1k/meta.json

regnetx_080.pycls_in1k/model.onnx ONNX

regnetx_080.pycls_in1k/preprocess.json

regnetx_080.tv2_in1k/meta.json

regnetx_080.tv2_in1k/model.onnx ONNX

regnetx_080.tv2_in1k/preprocess.json

regnetx_120.pycls_in1k/meta.json

regnetx_120.pycls_in1k/model.onnx ONNX

regnetx_120.pycls_in1k/preprocess.json

regnetx_160.pycls_in1k/meta.json

regnetx_160.pycls_in1k/model.onnx ONNX

regnetx_160.pycls_in1k/preprocess.json

regnetx_160.tv2_in1k/meta.json

regnetx_160.tv2_in1k/model.onnx ONNX

regnetx_160.tv2_in1k/preprocess.json

regnetx_320.pycls_in1k/meta.json

regnetx_320.pycls_in1k/model.onnx ONNX

regnetx_320.pycls_in1k/preprocess.json

regnetx_320.tv2_in1k/meta.json

regnetx_320.tv2_in1k/model.onnx ONNX

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regnetz_d8.ra3_in1k/meta.json

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repghostnet_111.in1k/meta.json

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repvgg_b3g4.rvgg_in1k/meta.json

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repvit_m2_3.dist_300e_in1k/meta.json

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res2net50_26w_6s.in1k/meta.json

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res2net50_48w_2s.in1k/meta.json

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res2net50d.in1k/meta.json

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res2next50.in1k/meta.json

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resmlp_24_224.fb_in1k/meta.json

resmlp_24_224.fb_in1k/model.onnx ONNX

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resmlp_36_224.fb_distilled_in1k/meta.json

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resmlp_big_24_224.fb_in1k/model.onnx ONNX

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resnet18.fb_swsl_ig1b_ft_in1k/model.onnx ONNX

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resnet18.gluon_in1k/meta.json

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resnet18.tv_in1k/meta.json

resnet18.tv_in1k/model.onnx ONNX

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resnet18d.ra2_in1k/meta.json

resnet18d.ra2_in1k/model.onnx ONNX

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resnet18d.ra4_e3600_r224_in1k/meta.json

resnet18d.ra4_e3600_r224_in1k/model.onnx ONNX

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resnet200d.ra2_in1k/model.onnx ONNX

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resnet26.bt_in1k/model.onnx ONNX

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resnet26d.bt_in1k/meta.json

resnet26d.bt_in1k/model.onnx ONNX

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resnet26t.ra2_in1k/meta.json

resnet26t.ra2_in1k/model.onnx ONNX

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resnet32ts.ra2_in1k/model.onnx ONNX

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resnet33ts.ra2_in1k/meta.json

resnet33ts.ra2_in1k/model.onnx ONNX

resnet33ts.ra2_in1k/preprocess.json

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resnet34.a1_in1k/model.onnx ONNX

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resnet34.a2_in1k/meta.json

resnet34.a2_in1k/model.onnx ONNX

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resnet34.a3_in1k/meta.json

resnet34.a3_in1k/model.onnx ONNX

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resnet34.bt_in1k/meta.json

resnet34.bt_in1k/model.onnx ONNX

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resnet34.gluon_in1k/meta.json

resnet34.gluon_in1k/model.onnx ONNX

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resnet34.ra4_e3600_r224_in1k/meta.json

resnet34.ra4_e3600_r224_in1k/model.onnx ONNX

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resnet34.tv_in1k/meta.json

resnet34.tv_in1k/model.onnx ONNX

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resnet34d.ra2_in1k/meta.json

resnet34d.ra2_in1k/model.onnx ONNX

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resnet50.a1_in1k/model.onnx ONNX

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resnet50.a1h_in1k/model.onnx ONNX

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resnet50.a2_in1k/meta.json

resnet50.a2_in1k/model.onnx ONNX

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resnet50.a3_in1k/meta.json

resnet50.a3_in1k/model.onnx ONNX

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resnet50.am_in1k/meta.json

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resnet50.b1k_in1k/meta.json

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resnet50.b2k_in1k/meta.json

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resnet50.bt_in1k/meta.json

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resnet50.c2_in1k/meta.json

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resnet50.d_in1k/meta.json

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resnet50.ra_in1k/meta.json

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resnet50.ram_in1k/meta.json

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resnet50d.a2_in1k/meta.json

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resnet50d.a3_in1k/meta.json

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resnet50d.gluon_in1k/meta.json

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resnetaa50d.sw_in12k/meta.json

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resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384/meta.json

resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384/model.onnx ONNX

resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384/preprocess.json

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resnetv2_18.ra4_e3600_r224_in1k/preprocess.json

resnetv2_18d.ra4_e3600_r224_in1k/meta.json

resnetv2_18d.ra4_e3600_r224_in1k/model.onnx ONNX

resnetv2_18d.ra4_e3600_r224_in1k/preprocess.json

resnetv2_34.ra4_e3600_r224_in1k/meta.json

resnetv2_34.ra4_e3600_r224_in1k/model.onnx ONNX

resnetv2_34.ra4_e3600_r224_in1k/preprocess.json

resnetv2_34d.ra4_e3600_r224_in1k/meta.json

resnetv2_34d.ra4_e3600_r224_in1k/model.onnx ONNX

resnetv2_34d.ra4_e3600_r224_in1k/preprocess.json

resnetv2_34d.ra4_e3600_r384_in1k/meta.json

resnetv2_34d.ra4_e3600_r384_in1k/model.onnx ONNX

resnetv2_34d.ra4_e3600_r384_in1k/preprocess.json

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resnetv2_50.a1h_in1k/model.onnx ONNX

resnetv2_50.a1h_in1k/preprocess.json

resnetv2_50d_evos.ah_in1k/meta.json

resnetv2_50d_evos.ah_in1k/model.onnx ONNX

resnetv2_50d_evos.ah_in1k/preprocess.json

resnetv2_50d_gn.ah_in1k/meta.json

resnetv2_50d_gn.ah_in1k/model.onnx ONNX

resnetv2_50d_gn.ah_in1k/preprocess.json

resnetv2_50x1_bit.goog_distilled_in1k/meta.json

resnetv2_50x1_bit.goog_distilled_in1k/model.onnx ONNX

resnetv2_50x1_bit.goog_distilled_in1k/preprocess.json

resnetv2_50x1_bit.goog_in21k/meta.json

resnetv2_50x1_bit.goog_in21k/model.onnx ONNX

resnetv2_50x1_bit.goog_in21k/preprocess.json

resnetv2_50x1_bit.goog_in21k_ft_in1k/meta.json

resnetv2_50x1_bit.goog_in21k_ft_in1k/model.onnx ONNX

resnetv2_50x1_bit.goog_in21k_ft_in1k/preprocess.json

resnetv2_50x3_bit.goog_in21k_ft_in1k/meta.json

resnetv2_50x3_bit.goog_in21k_ft_in1k/model.onnx ONNX

resnetv2_50x3_bit.goog_in21k_ft_in1k/preprocess.json

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resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k/model.onnx ONNX

resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k/preprocess.json

resnext101_32x16d.fb_swsl_ig1b_ft_in1k/meta.json

resnext101_32x16d.fb_swsl_ig1b_ft_in1k/model.onnx ONNX

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resnext101_32x16d.fb_wsl_ig1b_ft_in1k/meta.json

resnext101_32x16d.fb_wsl_ig1b_ft_in1k/model.onnx ONNX

resnext101_32x16d.fb_wsl_ig1b_ft_in1k/preprocess.json

resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k/meta.json

resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k/model.onnx ONNX

resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k/preprocess.json

resnext101_32x4d.fb_swsl_ig1b_ft_in1k/meta.json

resnext101_32x4d.fb_swsl_ig1b_ft_in1k/model.onnx ONNX

resnext101_32x4d.fb_swsl_ig1b_ft_in1k/preprocess.json

resnext101_32x4d.gluon_in1k/meta.json

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resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k/meta.json

resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k/model.onnx ONNX

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resnext101_32x8d.fb_swsl_ig1b_ft_in1k/meta.json

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resnext101_32x8d.fb_wsl_ig1b_ft_in1k/meta.json

resnext101_32x8d.fb_wsl_ig1b_ft_in1k/model.onnx ONNX

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resnext101_32x8d.tv2_in1k/meta.json

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resnext101_32x8d.tv_in1k/meta.json

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resnext101_64x4d.c1_in1k/meta.json

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resnext101_64x4d.gluon_in1k/meta.json

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resnext101_64x4d.tv_in1k/meta.json

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resnext50_32x4d.a1h_in1k/meta.json

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resnext50_32x4d.a2_in1k/meta.json

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resnext50_32x4d.a3_in1k/meta.json

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resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k/meta.json

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resnext50_32x4d.fb_swsl_ig1b_ft_in1k/meta.json

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resnext50_32x4d.gluon_in1k/meta.json

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resnext50_32x4d.ra_in1k/meta.json

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resnext50_32x4d.tv2_in1k/meta.json

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resnext50_32x4d.tv_in1k/meta.json

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rexnet_130.nav_in1k/meta.json

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rexnet_150.nav_in1k/meta.json

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rexnet_200.nav_in1k/meta.json

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rexnet_300.nav_in1k/meta.json

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rexnetr_200.sw_in12k/meta.json

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rexnetr_200.sw_in12k_ft_in1k/meta.json

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rexnetr_300.sw_in12k/meta.json

rexnetr_300.sw_in12k/model.onnx ONNX

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rexnetr_300.sw_in12k_ft_in1k/meta.json

rexnetr_300.sw_in12k_ft_in1k/model.onnx ONNX

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selecsls60b.in1k/model.onnx ONNX

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semnasnet_075.rmsp_in1k/meta.json

semnasnet_075.rmsp_in1k/model.onnx ONNX

semnasnet_075.rmsp_in1k/preprocess.json

semnasnet_100.rmsp_in1k/meta.json

semnasnet_100.rmsp_in1k/model.onnx ONNX

semnasnet_100.rmsp_in1k/preprocess.json

senet154.gluon_in1k/meta.json

senet154.gluon_in1k/model.onnx ONNX

senet154.gluon_in1k/preprocess.json

seresnet152d.ra2_in1k/meta.json

seresnet152d.ra2_in1k/model.onnx ONNX

seresnet152d.ra2_in1k/preprocess.json

seresnet33ts.ra2_in1k/meta.json

seresnet33ts.ra2_in1k/model.onnx ONNX

seresnet33ts.ra2_in1k/preprocess.json

seresnet50.a1_in1k/meta.json

seresnet50.a1_in1k/model.onnx ONNX

seresnet50.a1_in1k/preprocess.json

seresnet50.a2_in1k/meta.json

seresnet50.a2_in1k/model.onnx ONNX

seresnet50.a2_in1k/preprocess.json

seresnet50.a3_in1k/meta.json

seresnet50.a3_in1k/model.onnx ONNX

seresnet50.a3_in1k/preprocess.json

seresnet50.ra2_in1k/meta.json

seresnet50.ra2_in1k/model.onnx ONNX

seresnet50.ra2_in1k/preprocess.json

seresnext101_32x4d.gluon_in1k/meta.json

seresnext101_32x4d.gluon_in1k/model.onnx ONNX

seresnext101_32x4d.gluon_in1k/preprocess.json

seresnext101_32x8d.ah_in1k/meta.json

seresnext101_32x8d.ah_in1k/model.onnx ONNX

seresnext101_32x8d.ah_in1k/preprocess.json

seresnext101_64x4d.gluon_in1k/meta.json

seresnext101_64x4d.gluon_in1k/model.onnx ONNX

seresnext101_64x4d.gluon_in1k/preprocess.json

seresnext101d_32x8d.ah_in1k/meta.json

seresnext101d_32x8d.ah_in1k/model.onnx ONNX

seresnext101d_32x8d.ah_in1k/preprocess.json

seresnext26d_32x4d.bt_in1k/meta.json

seresnext26d_32x4d.bt_in1k/model.onnx ONNX

seresnext26d_32x4d.bt_in1k/preprocess.json

seresnext26t_32x4d.bt_in1k/meta.json

seresnext26t_32x4d.bt_in1k/model.onnx ONNX

seresnext26t_32x4d.bt_in1k/preprocess.json

seresnext26ts.ch_in1k/meta.json

seresnext26ts.ch_in1k/model.onnx ONNX

seresnext26ts.ch_in1k/preprocess.json

seresnext50_32x4d.gluon_in1k/meta.json

seresnext50_32x4d.gluon_in1k/model.onnx ONNX

seresnext50_32x4d.gluon_in1k/preprocess.json

seresnext50_32x4d.racm_in1k/meta.json

seresnext50_32x4d.racm_in1k/model.onnx ONNX

seresnext50_32x4d.racm_in1k/preprocess.json

seresnextaa101d_32x8d.ah_in1k/meta.json

seresnextaa101d_32x8d.ah_in1k/model.onnx ONNX

seresnextaa101d_32x8d.ah_in1k/preprocess.json

seresnextaa101d_32x8d.sw_in12k/meta.json

seresnextaa101d_32x8d.sw_in12k/model.onnx ONNX

seresnextaa101d_32x8d.sw_in12k/preprocess.json

seresnextaa101d_32x8d.sw_in12k_ft_in1k/meta.json

seresnextaa101d_32x8d.sw_in12k_ft_in1k/model.onnx ONNX

seresnextaa101d_32x8d.sw_in12k_ft_in1k/preprocess.json

seresnextaa101d_32x8d.sw_in12k_ft_in1k_288/meta.json

seresnextaa101d_32x8d.sw_in12k_ft_in1k_288/model.onnx ONNX

seresnextaa101d_32x8d.sw_in12k_ft_in1k_288/preprocess.json

seresnextaa201d_32x8d.sw_in12k/meta.json

seresnextaa201d_32x8d.sw_in12k/model.onnx ONNX

seresnextaa201d_32x8d.sw_in12k/preprocess.json

seresnextaa201d_32x8d.sw_in12k_ft_in1k_384/meta.json

seresnextaa201d_32x8d.sw_in12k_ft_in1k_384/model.onnx ONNX

seresnextaa201d_32x8d.sw_in12k_ft_in1k_384/preprocess.json

skresnet18.ra_in1k/meta.json

skresnet18.ra_in1k/model.onnx ONNX

skresnet18.ra_in1k/preprocess.json

skresnet34.ra_in1k/meta.json

skresnet34.ra_in1k/model.onnx ONNX

skresnet34.ra_in1k/preprocess.json

skresnext50_32x4d.ra_in1k/meta.json

skresnext50_32x4d.ra_in1k/model.onnx ONNX

skresnext50_32x4d.ra_in1k/preprocess.json

spnasnet_100.rmsp_in1k/meta.json

spnasnet_100.rmsp_in1k/model.onnx ONNX

spnasnet_100.rmsp_in1k/preprocess.json

swin_base_patch4_window12_384.ms_in1k/meta.json

swin_base_patch4_window12_384.ms_in1k/model.onnx ONNX

swin_base_patch4_window12_384.ms_in1k/preprocess.json

swin_base_patch4_window12_384.ms_in22k/meta.json

swin_base_patch4_window12_384.ms_in22k/model.onnx ONNX

swin_base_patch4_window12_384.ms_in22k/preprocess.json

swin_base_patch4_window12_384.ms_in22k_ft_in1k/meta.json

swin_base_patch4_window12_384.ms_in22k_ft_in1k/model.onnx ONNX

swin_base_patch4_window12_384.ms_in22k_ft_in1k/preprocess.json

swin_base_patch4_window7_224.ms_in1k/meta.json

swin_base_patch4_window7_224.ms_in1k/model.onnx ONNX

swin_base_patch4_window7_224.ms_in1k/preprocess.json

swin_base_patch4_window7_224.ms_in22k/meta.json

swin_base_patch4_window7_224.ms_in22k/model.onnx ONNX

swin_base_patch4_window7_224.ms_in22k/preprocess.json

swin_base_patch4_window7_224.ms_in22k_ft_in1k/meta.json

swin_base_patch4_window7_224.ms_in22k_ft_in1k/model.onnx ONNX

swin_base_patch4_window7_224.ms_in22k_ft_in1k/preprocess.json

swin_large_patch4_window12_384.ms_in22k/meta.json

swin_large_patch4_window12_384.ms_in22k/model.onnx ONNX

swin_large_patch4_window12_384.ms_in22k/preprocess.json

swin_large_patch4_window12_384.ms_in22k_ft_in1k/meta.json

swin_large_patch4_window12_384.ms_in22k_ft_in1k/model.onnx ONNX

swin_large_patch4_window12_384.ms_in22k_ft_in1k/preprocess.json

swin_large_patch4_window7_224.ms_in22k/meta.json

swin_large_patch4_window7_224.ms_in22k/model.onnx ONNX

swin_large_patch4_window7_224.ms_in22k/preprocess.json

swin_large_patch4_window7_224.ms_in22k_ft_in1k/meta.json

swin_large_patch4_window7_224.ms_in22k_ft_in1k/model.onnx ONNX

swin_large_patch4_window7_224.ms_in22k_ft_in1k/preprocess.json

swin_s3_base_224.ms_in1k/meta.json

swin_s3_base_224.ms_in1k/model.onnx ONNX

swin_s3_base_224.ms_in1k/preprocess.json

swin_s3_small_224.ms_in1k/meta.json

swin_s3_small_224.ms_in1k/model.onnx ONNX

swin_s3_small_224.ms_in1k/preprocess.json

swin_s3_tiny_224.ms_in1k/meta.json

swin_s3_tiny_224.ms_in1k/model.onnx ONNX

swin_s3_tiny_224.ms_in1k/preprocess.json

swin_small_patch4_window7_224.ms_in1k/meta.json

swin_small_patch4_window7_224.ms_in1k/model.onnx ONNX

swin_small_patch4_window7_224.ms_in1k/preprocess.json

swin_small_patch4_window7_224.ms_in22k/meta.json

swin_small_patch4_window7_224.ms_in22k/model.onnx ONNX

swin_small_patch4_window7_224.ms_in22k/preprocess.json

swin_small_patch4_window7_224.ms_in22k_ft_in1k/meta.json

swin_small_patch4_window7_224.ms_in22k_ft_in1k/model.onnx ONNX

swin_small_patch4_window7_224.ms_in22k_ft_in1k/preprocess.json

swin_tiny_patch4_window7_224.ms_in1k/meta.json

swin_tiny_patch4_window7_224.ms_in1k/model.onnx ONNX

swin_tiny_patch4_window7_224.ms_in1k/preprocess.json

swin_tiny_patch4_window7_224.ms_in22k/meta.json

swin_tiny_patch4_window7_224.ms_in22k/model.onnx ONNX

swin_tiny_patch4_window7_224.ms_in22k/preprocess.json

swin_tiny_patch4_window7_224.ms_in22k_ft_in1k/meta.json

swin_tiny_patch4_window7_224.ms_in22k_ft_in1k/model.onnx ONNX

swin_tiny_patch4_window7_224.ms_in22k_ft_in1k/preprocess.json

swinv2_base_window12_192.ms_in22k/meta.json

swinv2_base_window12_192.ms_in22k/model.onnx ONNX

swinv2_base_window12_192.ms_in22k/preprocess.json

swinv2_base_window12to16_192to256.ms_in22k_ft_in1k/meta.json

swinv2_base_window12to16_192to256.ms_in22k_ft_in1k/model.onnx ONNX

swinv2_base_window12to16_192to256.ms_in22k_ft_in1k/preprocess.json

swinv2_base_window12to24_192to384.ms_in22k_ft_in1k/meta.json

swinv2_base_window12to24_192to384.ms_in22k_ft_in1k/model.onnx ONNX

swinv2_base_window12to24_192to384.ms_in22k_ft_in1k/preprocess.json

swinv2_base_window16_256.ms_in1k/meta.json

swinv2_base_window16_256.ms_in1k/model.onnx ONNX

swinv2_base_window16_256.ms_in1k/preprocess.json

swinv2_base_window8_256.ms_in1k/meta.json

swinv2_base_window8_256.ms_in1k/model.onnx ONNX

swinv2_base_window8_256.ms_in1k/preprocess.json

swinv2_cr_small_224.sw_in1k/meta.json

swinv2_cr_small_224.sw_in1k/model.onnx ONNX

swinv2_cr_small_224.sw_in1k/preprocess.json

swinv2_cr_small_ns_224.sw_in1k/meta.json

swinv2_cr_small_ns_224.sw_in1k/model.onnx ONNX

swinv2_cr_small_ns_224.sw_in1k/preprocess.json

swinv2_cr_tiny_ns_224.sw_in1k/meta.json

swinv2_cr_tiny_ns_224.sw_in1k/model.onnx ONNX

swinv2_cr_tiny_ns_224.sw_in1k/preprocess.json

swinv2_large_window12_192.ms_in22k/meta.json

swinv2_large_window12_192.ms_in22k/model.onnx ONNX

swinv2_large_window12_192.ms_in22k/preprocess.json

swinv2_large_window12to16_192to256.ms_in22k_ft_in1k/meta.json

swinv2_large_window12to16_192to256.ms_in22k_ft_in1k/model.onnx ONNX

swinv2_large_window12to16_192to256.ms_in22k_ft_in1k/preprocess.json

swinv2_large_window12to24_192to384.ms_in22k_ft_in1k/meta.json

swinv2_large_window12to24_192to384.ms_in22k_ft_in1k/model.onnx ONNX

swinv2_large_window12to24_192to384.ms_in22k_ft_in1k/preprocess.json

swinv2_small_window16_256.ms_in1k/meta.json

swinv2_small_window16_256.ms_in1k/model.onnx ONNX

swinv2_small_window16_256.ms_in1k/preprocess.json

swinv2_small_window8_256.ms_in1k/meta.json

swinv2_small_window8_256.ms_in1k/model.onnx ONNX

swinv2_small_window8_256.ms_in1k/preprocess.json

swinv2_tiny_window16_256.ms_in1k/meta.json

swinv2_tiny_window16_256.ms_in1k/model.onnx ONNX

swinv2_tiny_window16_256.ms_in1k/preprocess.json

swinv2_tiny_window8_256.ms_in1k/meta.json

swinv2_tiny_window8_256.ms_in1k/model.onnx ONNX

swinv2_tiny_window8_256.ms_in1k/preprocess.json

test_byobnet.r160_in1k/meta.json

test_byobnet.r160_in1k/model.onnx ONNX

test_byobnet.r160_in1k/preprocess.json

test_convnext.r160_in1k/meta.json

test_convnext.r160_in1k/model.onnx ONNX

test_convnext.r160_in1k/preprocess.json

test_convnext2.r160_in1k/meta.json

test_convnext2.r160_in1k/model.onnx ONNX

test_convnext2.r160_in1k/preprocess.json

test_convnext3.r160_in1k/meta.json

test_convnext3.r160_in1k/model.onnx ONNX

test_convnext3.r160_in1k/preprocess.json

test_efficientnet.r160_in1k/meta.json

test_efficientnet.r160_in1k/model.onnx ONNX

test_efficientnet.r160_in1k/preprocess.json

test_efficientnet_evos.r160_in1k/meta.json

test_efficientnet_evos.r160_in1k/model.onnx ONNX

test_efficientnet_evos.r160_in1k/preprocess.json

test_efficientnet_gn.r160_in1k/meta.json

test_efficientnet_gn.r160_in1k/model.onnx ONNX

test_efficientnet_gn.r160_in1k/preprocess.json

test_efficientnet_ln.r160_in1k/meta.json

test_efficientnet_ln.r160_in1k/model.onnx ONNX

test_efficientnet_ln.r160_in1k/preprocess.json

test_nfnet.r160_in1k/meta.json

test_nfnet.r160_in1k/model.onnx ONNX

test_nfnet.r160_in1k/preprocess.json

test_resnet.r160_in1k/meta.json

test_resnet.r160_in1k/model.onnx ONNX

test_resnet.r160_in1k/preprocess.json

test_vit.r160_in1k/meta.json

test_vit.r160_in1k/model.onnx ONNX

test_vit.r160_in1k/preprocess.json

test_vit2.r160_in1k/meta.json

test_vit2.r160_in1k/model.onnx ONNX

test_vit2.r160_in1k/preprocess.json

test_vit3.r160_in1k/meta.json

test_vit3.r160_in1k/model.onnx ONNX

test_vit3.r160_in1k/preprocess.json

tiny_vit_11m_224.dist_in22k/meta.json

tiny_vit_11m_224.dist_in22k/model.onnx ONNX

tiny_vit_11m_224.dist_in22k/preprocess.json

tiny_vit_11m_224.dist_in22k_ft_in1k/meta.json

tiny_vit_11m_224.dist_in22k_ft_in1k/model.onnx ONNX

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tiny_vit_21m_224.dist_in22k/model.onnx ONNX

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tiny_vit_21m_384.dist_in22k_ft_in1k/meta.json

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tiny_vit_21m_512.dist_in22k_ft_in1k/meta.json

tiny_vit_21m_512.dist_in22k_ft_in1k/model.onnx ONNX

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tiny_vit_5m_224.dist_in22k/meta.json

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tinynet_a.in1k/meta.json

tinynet_a.in1k/model.onnx ONNX

tinynet_a.in1k/preprocess.json

tinynet_b.in1k/meta.json

tinynet_b.in1k/model.onnx ONNX

tinynet_b.in1k/preprocess.json

tinynet_c.in1k/meta.json

tinynet_c.in1k/model.onnx ONNX

tinynet_c.in1k/preprocess.json

tinynet_d.in1k/meta.json

tinynet_d.in1k/model.onnx ONNX

tinynet_d.in1k/preprocess.json

tinynet_e.in1k/meta.json

tinynet_e.in1k/model.onnx ONNX

tinynet_e.in1k/preprocess.json

tresnet_l.miil_in1k/meta.json

tresnet_l.miil_in1k/model.onnx ONNX

tresnet_l.miil_in1k/preprocess.json

tresnet_l.miil_in1k_448/meta.json

tresnet_l.miil_in1k_448/model.onnx ONNX

tresnet_l.miil_in1k_448/preprocess.json

tresnet_m.miil_in1k/meta.json

tresnet_m.miil_in1k/model.onnx ONNX

tresnet_m.miil_in1k/preprocess.json

tresnet_m.miil_in1k_448/meta.json

tresnet_m.miil_in1k_448/model.onnx ONNX

tresnet_m.miil_in1k_448/preprocess.json

tresnet_m.miil_in21k/meta.json

tresnet_m.miil_in21k/model.onnx ONNX

tresnet_m.miil_in21k/preprocess.json

tresnet_m.miil_in21k_ft_in1k/meta.json

tresnet_m.miil_in21k_ft_in1k/model.onnx ONNX

tresnet_m.miil_in21k_ft_in1k/preprocess.json

tresnet_v2_l.miil_in21k/meta.json

tresnet_v2_l.miil_in21k/model.onnx ONNX

tresnet_v2_l.miil_in21k/preprocess.json

tresnet_v2_l.miil_in21k_ft_in1k/meta.json

tresnet_v2_l.miil_in21k_ft_in1k/model.onnx ONNX

tresnet_v2_l.miil_in21k_ft_in1k/preprocess.json

tresnet_xl.miil_in1k/meta.json

tresnet_xl.miil_in1k/model.onnx ONNX

tresnet_xl.miil_in1k/preprocess.json

tresnet_xl.miil_in1k_448/meta.json

tresnet_xl.miil_in1k_448/model.onnx ONNX

tresnet_xl.miil_in1k_448/preprocess.json

twins_pcpvt_base.in1k/meta.json

twins_pcpvt_base.in1k/model.onnx ONNX

twins_pcpvt_base.in1k/preprocess.json

twins_pcpvt_large.in1k/meta.json

twins_pcpvt_large.in1k/model.onnx ONNX

twins_pcpvt_large.in1k/preprocess.json

twins_pcpvt_small.in1k/meta.json

twins_pcpvt_small.in1k/model.onnx ONNX

twins_pcpvt_small.in1k/preprocess.json

twins_svt_base.in1k/meta.json

twins_svt_base.in1k/model.onnx ONNX

twins_svt_base.in1k/preprocess.json

twins_svt_large.in1k/meta.json

twins_svt_large.in1k/model.onnx ONNX

twins_svt_large.in1k/preprocess.json

twins_svt_small.in1k/meta.json

twins_svt_small.in1k/model.onnx ONNX

twins_svt_small.in1k/preprocess.json

vgg11.tv_in1k/meta.json

vgg11.tv_in1k/model.onnx ONNX

vgg11.tv_in1k/preprocess.json

vgg11_bn.tv_in1k/meta.json

vgg11_bn.tv_in1k/model.onnx ONNX

vgg11_bn.tv_in1k/preprocess.json

vgg13.tv_in1k/meta.json

vgg13.tv_in1k/model.onnx ONNX

vgg13.tv_in1k/preprocess.json

vgg13_bn.tv_in1k/meta.json

vgg13_bn.tv_in1k/model.onnx ONNX

vgg13_bn.tv_in1k/preprocess.json

vgg16.tv_in1k/meta.json

vgg16.tv_in1k/model.onnx ONNX

vgg16.tv_in1k/preprocess.json

vgg16_bn.tv_in1k/meta.json

vgg16_bn.tv_in1k/model.onnx ONNX

vgg16_bn.tv_in1k/preprocess.json

vgg19.tv_in1k/meta.json

vgg19.tv_in1k/model.onnx ONNX

vgg19.tv_in1k/preprocess.json

vgg19_bn.tv_in1k/meta.json

vgg19_bn.tv_in1k/model.onnx ONNX

vgg19_bn.tv_in1k/preprocess.json

visformer_small.in1k/meta.json

visformer_small.in1k/model.onnx ONNX

visformer_small.in1k/preprocess.json

visformer_tiny.in1k/meta.json

visformer_tiny.in1k/model.onnx ONNX

visformer_tiny.in1k/preprocess.json

vit_base_patch14_dinov2.lvd142m/meta.json

vit_base_patch14_dinov2.lvd142m/model.onnx ONNX

vit_base_patch14_dinov2.lvd142m/preprocess.json

vit_base_patch14_reg4_dinov2.lvd142m/meta.json

vit_base_patch14_reg4_dinov2.lvd142m/model.onnx ONNX

vit_base_patch14_reg4_dinov2.lvd142m/preprocess.json

vit_base_patch16_224.augreg2_in21k_ft_in1k/meta.json

vit_base_patch16_224.augreg2_in21k_ft_in1k/model.onnx ONNX

vit_base_patch16_224.augreg2_in21k_ft_in1k/preprocess.json

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vit_base_patch16_clip_224.openai_ft_in12k/meta.json

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vit_base_patch16_siglip_512.webli/meta.json

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vit_base_patch32_224.augreg_in21k/meta.json

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vit_base_patch32_224.augreg_in21k_ft_in1k/meta.json

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vit_base_patch32_224.sam_in1k/meta.json

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vit_base_patch32_clip_224.openai_ft_in1k/meta.json

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vit_base_patch8_224.augreg_in21k_ft_in1k/meta.json

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vit_base_patch8_224.augreg_in21k_ft_in1k/preprocess.json

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vit_betwixt_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k/meta.json

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vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k/meta.json

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vit_little_patch16_reg1_gap_256.sbb_in12k/meta.json

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vit_little_patch16_reg4_gap_256.sbb_in1k/meta.json

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vit_mediumd_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k/meta.json

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vit_small_patch8_224.dino/preprocess.json

vit_small_r26_s32_224.augreg_in21k/meta.json

vit_small_r26_s32_224.augreg_in21k/model.onnx ONNX

vit_small_r26_s32_224.augreg_in21k/preprocess.json

vit_small_r26_s32_224.augreg_in21k_ft_in1k/meta.json

vit_small_r26_s32_224.augreg_in21k_ft_in1k/model.onnx ONNX

vit_small_r26_s32_224.augreg_in21k_ft_in1k/preprocess.json

vit_small_r26_s32_384.augreg_in21k_ft_in1k/meta.json

vit_small_r26_s32_384.augreg_in21k_ft_in1k/model.onnx ONNX

vit_small_r26_s32_384.augreg_in21k_ft_in1k/preprocess.json

vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k/meta.json

vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k/model.onnx ONNX

vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k/preprocess.json

vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k_ft_in1k/meta.json

vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k_ft_in1k/model.onnx ONNX

vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k_ft_in1k/preprocess.json

vit_so150m_patch16_reg4_gap_384.sbb_e250_in12k_ft_in1k/meta.json

vit_so150m_patch16_reg4_gap_384.sbb_e250_in12k_ft_in1k/model.onnx ONNX

vit_so150m_patch16_reg4_gap_384.sbb_e250_in12k_ft_in1k/preprocess.json

vit_srelpos_medium_patch16_224.sw_in1k/meta.json

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vit_srelpos_small_patch16_224.sw_in1k/meta.json

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vit_tiny_patch16_224.augreg_in21k/meta.json

vit_tiny_patch16_224.augreg_in21k/model.onnx ONNX

vit_tiny_patch16_224.augreg_in21k/preprocess.json

vit_tiny_patch16_224.augreg_in21k_ft_in1k/meta.json

vit_tiny_patch16_224.augreg_in21k_ft_in1k/model.onnx ONNX

vit_tiny_patch16_224.augreg_in21k_ft_in1k/preprocess.json

vit_tiny_patch16_384.augreg_in21k_ft_in1k/meta.json

vit_tiny_patch16_384.augreg_in21k_ft_in1k/model.onnx ONNX

vit_tiny_patch16_384.augreg_in21k_ft_in1k/preprocess.json

vit_tiny_r_s16_p8_224.augreg_in21k/meta.json

vit_tiny_r_s16_p8_224.augreg_in21k/model.onnx ONNX

vit_tiny_r_s16_p8_224.augreg_in21k/preprocess.json

vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k/meta.json

vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k/model.onnx ONNX

vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k/preprocess.json

vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k/meta.json

vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k/model.onnx ONNX

vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k/preprocess.json

vit_wee_patch16_reg1_gap_256.sbb_in1k/meta.json

vit_wee_patch16_reg1_gap_256.sbb_in1k/model.onnx ONNX

vit_wee_patch16_reg1_gap_256.sbb_in1k/preprocess.json

wide_resnet101_2.tv2_in1k/meta.json

wide_resnet101_2.tv2_in1k/model.onnx ONNX

wide_resnet101_2.tv2_in1k/preprocess.json

wide_resnet101_2.tv_in1k/meta.json

wide_resnet101_2.tv_in1k/model.onnx ONNX

wide_resnet101_2.tv_in1k/preprocess.json

wide_resnet50_2.racm_in1k/meta.json

wide_resnet50_2.racm_in1k/model.onnx ONNX

wide_resnet50_2.racm_in1k/preprocess.json

wide_resnet50_2.tv2_in1k/meta.json

wide_resnet50_2.tv2_in1k/model.onnx ONNX

wide_resnet50_2.tv2_in1k/preprocess.json

wide_resnet50_2.tv_in1k/meta.json

wide_resnet50_2.tv_in1k/model.onnx ONNX

wide_resnet50_2.tv_in1k/preprocess.json

xception41.tf_in1k/meta.json

xception41.tf_in1k/model.onnx ONNX

xception41.tf_in1k/preprocess.json

xception41p.ra3_in1k/meta.json

xception41p.ra3_in1k/model.onnx ONNX

xception41p.ra3_in1k/preprocess.json

xception65.ra3_in1k/meta.json

xception65.ra3_in1k/model.onnx ONNX

xception65.ra3_in1k/preprocess.json

xception65.tf_in1k/meta.json

xception65.tf_in1k/model.onnx ONNX

xception65.tf_in1k/preprocess.json

xception65p.ra3_in1k/meta.json

xception65p.ra3_in1k/model.onnx ONNX

xception65p.ra3_in1k/preprocess.json

xception71.tf_in1k/meta.json

xception71.tf_in1k/model.onnx ONNX

xception71.tf_in1k/preprocess.json

xcit_large_24_p16_224.fb_dist_in1k/meta.json

xcit_large_24_p16_224.fb_dist_in1k/model.onnx ONNX

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xcit_large_24_p16_224.fb_in1k/meta.json

xcit_large_24_p16_224.fb_in1k/model.onnx ONNX

xcit_large_24_p16_224.fb_in1k/preprocess.json

xcit_large_24_p16_384.fb_dist_in1k/meta.json

xcit_large_24_p16_384.fb_dist_in1k/model.onnx ONNX

xcit_large_24_p16_384.fb_dist_in1k/preprocess.json

xcit_large_24_p8_224.fb_dist_in1k/meta.json

xcit_large_24_p8_224.fb_dist_in1k/model.onnx ONNX

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xcit_large_24_p8_224.fb_in1k/model.onnx ONNX

xcit_large_24_p8_224.fb_in1k/preprocess.json

xcit_large_24_p8_384.fb_dist_in1k/meta.json

xcit_large_24_p8_384.fb_dist_in1k/model.onnx ONNX

xcit_large_24_p8_384.fb_dist_in1k/preprocess.json

xcit_medium_24_p16_224.fb_dist_in1k/meta.json

xcit_medium_24_p16_224.fb_dist_in1k/model.onnx ONNX

xcit_medium_24_p16_224.fb_dist_in1k/preprocess.json

xcit_medium_24_p16_224.fb_in1k/meta.json

xcit_medium_24_p16_224.fb_in1k/model.onnx ONNX

xcit_medium_24_p16_224.fb_in1k/preprocess.json

xcit_medium_24_p16_384.fb_dist_in1k/meta.json

xcit_medium_24_p16_384.fb_dist_in1k/model.onnx ONNX

xcit_medium_24_p16_384.fb_dist_in1k/preprocess.json

xcit_medium_24_p8_224.fb_dist_in1k/meta.json

xcit_medium_24_p8_224.fb_dist_in1k/model.onnx ONNX

xcit_medium_24_p8_224.fb_dist_in1k/preprocess.json

xcit_medium_24_p8_224.fb_in1k/meta.json

xcit_medium_24_p8_224.fb_in1k/model.onnx ONNX

xcit_medium_24_p8_224.fb_in1k/preprocess.json

xcit_medium_24_p8_384.fb_dist_in1k/meta.json

xcit_medium_24_p8_384.fb_dist_in1k/model.onnx ONNX

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xcit_nano_12_p16_224.fb_dist_in1k/meta.json

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xcit_nano_12_p16_224.fb_in1k/preprocess.json

xcit_nano_12_p16_384.fb_dist_in1k/meta.json

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xcit_nano_12_p16_384.fb_dist_in1k/preprocess.json

xcit_nano_12_p8_224.fb_dist_in1k/meta.json

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xcit_nano_12_p8_224.fb_dist_in1k/preprocess.json

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xcit_nano_12_p8_384.fb_dist_in1k/meta.json

xcit_nano_12_p8_384.fb_dist_in1k/model.onnx ONNX

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xcit_small_12_p16_224.fb_dist_in1k/meta.json

xcit_small_12_p16_224.fb_dist_in1k/model.onnx ONNX

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xcit_small_12_p16_224.fb_in1k/meta.json

xcit_small_12_p16_224.fb_in1k/model.onnx ONNX

xcit_small_12_p16_224.fb_in1k/preprocess.json

xcit_small_12_p16_384.fb_dist_in1k/meta.json

xcit_small_12_p16_384.fb_dist_in1k/model.onnx ONNX

xcit_small_12_p16_384.fb_dist_in1k/preprocess.json

xcit_small_12_p8_224.fb_dist_in1k/meta.json

xcit_small_12_p8_224.fb_dist_in1k/model.onnx ONNX

xcit_small_12_p8_224.fb_dist_in1k/preprocess.json

xcit_small_12_p8_224.fb_in1k/meta.json

xcit_small_12_p8_224.fb_in1k/model.onnx ONNX

xcit_small_12_p8_224.fb_in1k/preprocess.json

xcit_small_12_p8_384.fb_dist_in1k/meta.json

xcit_small_12_p8_384.fb_dist_in1k/model.onnx ONNX

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xcit_small_24_p16_224.fb_dist_in1k/meta.json

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xcit_small_24_p16_224.fb_in1k/model.onnx ONNX

xcit_small_24_p16_224.fb_in1k/preprocess.json

xcit_small_24_p16_384.fb_dist_in1k/meta.json

xcit_small_24_p16_384.fb_dist_in1k/model.onnx ONNX

xcit_small_24_p16_384.fb_dist_in1k/preprocess.json

xcit_small_24_p8_224.fb_dist_in1k/meta.json

xcit_small_24_p8_224.fb_dist_in1k/model.onnx ONNX

xcit_small_24_p8_224.fb_dist_in1k/preprocess.json

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xcit_small_24_p8_224.fb_in1k/preprocess.json

xcit_small_24_p8_384.fb_dist_in1k/meta.json

xcit_small_24_p8_384.fb_dist_in1k/model.onnx ONNX

xcit_small_24_p8_384.fb_dist_in1k/preprocess.json

xcit_tiny_12_p16_224.fb_dist_in1k/meta.json

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xcit_tiny_12_p16_224.fb_dist_in1k/preprocess.json

xcit_tiny_12_p16_224.fb_in1k/meta.json

xcit_tiny_12_p16_224.fb_in1k/model.onnx ONNX

xcit_tiny_12_p16_224.fb_in1k/preprocess.json

xcit_tiny_12_p16_384.fb_dist_in1k/meta.json

xcit_tiny_12_p16_384.fb_dist_in1k/model.onnx ONNX

xcit_tiny_12_p16_384.fb_dist_in1k/preprocess.json

xcit_tiny_12_p8_224.fb_dist_in1k/meta.json

xcit_tiny_12_p8_224.fb_dist_in1k/model.onnx ONNX

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xcit_tiny_12_p8_224.fb_in1k/meta.json

xcit_tiny_12_p8_224.fb_in1k/model.onnx ONNX

xcit_tiny_12_p8_224.fb_in1k/preprocess.json

xcit_tiny_12_p8_384.fb_dist_in1k/meta.json

xcit_tiny_12_p8_384.fb_dist_in1k/model.onnx ONNX

xcit_tiny_12_p8_384.fb_dist_in1k/preprocess.json

xcit_tiny_24_p16_224.fb_dist_in1k/meta.json

xcit_tiny_24_p16_224.fb_dist_in1k/model.onnx ONNX

xcit_tiny_24_p16_224.fb_dist_in1k/preprocess.json

xcit_tiny_24_p16_224.fb_in1k/meta.json

xcit_tiny_24_p16_224.fb_in1k/model.onnx ONNX

xcit_tiny_24_p16_224.fb_in1k/preprocess.json

xcit_tiny_24_p16_384.fb_dist_in1k/meta.json

xcit_tiny_24_p16_384.fb_dist_in1k/model.onnx ONNX

xcit_tiny_24_p16_384.fb_dist_in1k/preprocess.json

xcit_tiny_24_p8_224.fb_dist_in1k/meta.json

xcit_tiny_24_p8_224.fb_dist_in1k/model.onnx ONNX

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xcit_tiny_24_p8_224.fb_in1k/meta.json

xcit_tiny_24_p8_224.fb_in1k/model.onnx ONNX

xcit_tiny_24_p8_224.fb_in1k/preprocess.json

xcit_tiny_24_p8_384.fb_dist_in1k/meta.json

xcit_tiny_24_p8_384.fb_dist_in1k/model.onnx ONNX

xcit_tiny_24_p8_384.fb_dist_in1k/preprocess.json

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