dantehrani/proteus-models
By dantehrani · ↓ 0 · ♥ 0 · Updated 2025-09-14
What's in this repo
This page lists the files in dantehrani/proteus-models, including ResNet-101-Efficient-B0_scripted.onnx, ResNet-101-Efficient-B1_scripted.onnx, ResNet-101-MobileNet-v3_scripted.onnx and more.
- 26 ONNX models (.onnx files)
- 122 files, including 66 .npy, 27 .pt, 26 .onnx, 1 .md
- Last updated 2025-09-14
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/ResNet-101-Efficient-B0_scripted.onnx | — | Download |
| onnx/ResNet-101-Efficient-B1_scripted.onnx | — | Download |
| onnx/ResNet-101-MobileNet-v3_scripted.onnx | — | Download |
| onnx/ResNet-101-ResNet-18_scripted.onnx | — | Download |
| onnx/ResNet-101-ResNet-34_scripted.onnx | — | Download |
| onnx/ResNet-152-Efficient-B0_scripted.onnx | — | Download |
| onnx/ResNet-152-Efficient-B1_scripted.onnx | — | Download |
| onnx/ResNet-152-MobileNet-v3_scripted.onnx | — | Download |
| onnx/ResNet-152-ResNet-18_scripted.onnx | — | Download |
| onnx/ResNet-152-ResNet-34_scripted.onnx | — | Download |
Showing 10 of 26 .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
license: mit
I need to fetch the README content from the HuggingFace model page first. The README content is very minimal - just a license field. Here's the translation:
license: mit
注：此模型仓库的 README 文件仅包含许可证信息。如需更多信息，请访问 HuggingFace 模型页面。
Model info
onnx
license:mit
region:us
↓ 0
♥ 0
Created: 2025-09-12
Updated: 2025-09-14
View on Hugging FaceFiles (122)
.gitattributes
.gitignore
README.md
onnx/ResNet-101-Efficient-B0_scripted.onnx
ONNX
onnx/ResNet-101-Efficient-B1_scripted.onnx
ONNX
onnx/ResNet-101-MobileNet-v3_scripted.onnx
ONNX
onnx/ResNet-101-ResNet-18_scripted.onnx
ONNX
onnx/ResNet-101-ResNet-34_scripted.onnx
ONNX
onnx/ResNet-152-Efficient-B0_scripted.onnx
ONNX
onnx/ResNet-152-Efficient-B1_scripted.onnx
ONNX
onnx/ResNet-152-MobileNet-v3_scripted.onnx
ONNX
onnx/ResNet-152-ResNet-18_scripted.onnx
ONNX
onnx/ResNet-152-ResNet-34_scripted.onnx
ONNX
onnx/ResNet-50*2-Efficient-B0_scripted.onnx
ONNX
onnx/ResNet-50*2-Efficient-B1_scripted.onnx
ONNX
onnx/ResNet-50*2-MobileNet-v3_scripted.onnx
ONNX
onnx/ResNet-50*2-ResNet-18_scripted.onnx
ONNX
onnx/ResNet-50*2-ResNet-34_scripted.onnx
ONNX
onnx/ResNet-50-Efficient-B0_scripted.onnx
ONNX
onnx/ResNet-50-Efficient-B1_scripted.onnx
ONNX
onnx/ResNet-50-MobileNet-v3_scripted.onnx
ONNX
onnx/ResNet-50-ResNet-18_scripted.onnx
ONNX
onnx/ResNet-50-ResNet-34_scripted.onnx
ONNX
onnx/dino_mnv2_sslight_traced.onnx
ONNX
onnx/dino_r18_sslight_scripted.onnx
ONNX
onnx/dino_r34_sslight_scripted.onnx
ONNX
onnx/dino_vitt16_sslight_traced.onnx
ONNX
onnx/moco_mnv2_sslight_traced.onnx
ONNX
onnx/swav_mnv2_sslight_traced.onnx
ONNX
params/ResNet-101-Efficient-B0_scripted_PCA.npy
params/ResNet-101-Efficient-B0_scripted_means.npy
params/ResNet-101-Efficient-B1_scripted_PCA.npy
params/ResNet-101-Efficient-B1_scripted_means.npy
params/ResNet-101-MobileNet-v3_scripted_PCA.npy
params/ResNet-101-MobileNet-v3_scripted_means.npy
params/ResNet-101-ResNet-18_scripted_PCA.npy
params/ResNet-101-ResNet-18_scripted_means.npy
params/ResNet-101-ResNet-34_scripted_PCA.npy
params/ResNet-101-ResNet-34_scripted_means.npy
params/ResNet-152-Efficient-B0_scripted_PCA.npy
params/ResNet-152-Efficient-B0_scripted_means.npy
params/ResNet-152-Efficient-B1_scripted_PCA.npy
params/ResNet-152-Efficient-B1_scripted_means.npy
params/ResNet-152-MobileNet-v3_scripted_PCA.npy
params/ResNet-152-MobileNet-v3_scripted_means.npy
params/ResNet-152-ResNet-18_scripted_PCA.npy
params/ResNet-152-ResNet-18_scripted_means.npy
params/ResNet-152-ResNet-34_scripted_PCA.npy
params/ResNet-152-ResNet-34_scripted_means.npy
params/ResNet-50*2-Efficient-B0_scripted_PCA.npy
params/ResNet-50*2-Efficient-B0_scripted_means.npy
params/ResNet-50*2-Efficient-B1_scripted_PCA.npy
params/ResNet-50*2-Efficient-B1_scripted_means.npy
params/ResNet-50*2-MobileNet-v3_scripted_PCA.npy
params/ResNet-50*2-MobileNet-v3_scripted_means.npy
params/ResNet-50*2-ResNet-18_scripted_PCA.npy
params/ResNet-50*2-ResNet-18_scripted_means.npy
params/ResNet-50*2-ResNet-34_scripted_PCA.npy
params/ResNet-50*2-ResNet-34_scripted_means.npy
params/ResNet-50-Efficient-B0_scripted_PCA.npy
params/ResNet-50-Efficient-B0_scripted_means.npy
params/ResNet-50-Efficient-B1_scripted_PCA.npy
params/ResNet-50-Efficient-B1_scripted_means.npy
params/ResNet-50-MobileNet-v3_scripted_PCA.npy
params/ResNet-50-MobileNet-v3_scripted_means.npy
params/ResNet-50-ResNet-18_scripted_PCA.npy
params/ResNet-50-ResNet-18_scripted_means.npy
params/ResNet-50-ResNet-34_scripted_PCA.npy
params/ResNet-50-ResNet-34_scripted_means.npy
params/dino_mnv2_sslight_traced_PCA.npy
params/dino_mnv2_sslight_traced_means.npy
params/dino_r18_sslight_scripted_PCA.npy
params/dino_r18_sslight_scripted_means.npy
params/dino_r34_sslight_scripted_PCA.npy
params/dino_r34_sslight_scripted_means.npy
params/dino_vitt16_sslight_traced_PCA.npy
params/dino_vitt16_sslight_traced_means.npy
params/dinov2_vitb14_reg_PCA.npy
params/dinov2_vitb14_reg_means.npy
params/dinov2_vits14_reg_PCA.npy
params/dinov2_vits14_reg_means.npy
params/dinov3_convnext-small_PCA.npy
params/dinov3_convnext-small_means.npy
params/dinov3_convnext-tiny_PCA.npy
params/dinov3_convnext-tiny_means.npy
params/dinov3_vits16_PCA.npy
params/dinov3_vits16_means.npy
params/dinov3_vits16plus_PCA.npy
params/dinov3_vits16plus_means.npy
params/isc_selfsup_v98_scripted_PCA.npy
params/isc_selfsup_v98_scripted_means.npy
params/moco_mnv2_sslight_traced_PCA.npy
params/moco_mnv2_sslight_traced_means.npy
params/swav_mnv2_sslight_traced_PCA.npy
params/swav_mnv2_sslight_traced_means.npy
pretrained-models/ResNet-101-Efficient-B0_scripted.pt
pretrained-models/ResNet-101-Efficient-B1_scripted.pt
pretrained-models/ResNet-101-MobileNet-v3_scripted.pt
pretrained-models/ResNet-101-ResNet-18_scripted.pt
pretrained-models/ResNet-101-ResNet-34_scripted.pt
pretrained-models/ResNet-152-Efficient-B0_scripted.pt
pretrained-models/ResNet-152-Efficient-B1_scripted.pt
pretrained-models/ResNet-152-MobileNet-v3_scripted.pt
pretrained-models/ResNet-152-ResNet-18_scripted.pt
pretrained-models/ResNet-152-ResNet-34_scripted.pt
pretrained-models/ResNet-50*2-Efficient-B0_scripted.pt
pretrained-models/ResNet-50*2-Efficient-B1_scripted.pt
pretrained-models/ResNet-50*2-MobileNet-v3_scripted.pt
pretrained-models/ResNet-50*2-ResNet-18_scripted.pt
pretrained-models/ResNet-50*2-ResNet-34_scripted.pt
pretrained-models/ResNet-50-Efficient-B0_scripted.pt
pretrained-models/ResNet-50-Efficient-B1_scripted.pt
pretrained-models/ResNet-50-MobileNet-v3_scripted.pt
pretrained-models/ResNet-50-ResNet-18_scripted.pt
pretrained-models/ResNet-50-ResNet-34_scripted.pt
pretrained-models/dino_mnv2_sslight_traced.pt
pretrained-models/dino_r18_sslight_scripted.pt
pretrained-models/dino_r34_sslight_scripted.pt
pretrained-models/dino_vitt16_sslight_traced.pt
pretrained-models/isc_selfsup_v98_scripted.pt
pretrained-models/moco_mnv2_sslight_traced.pt
pretrained-models/swav_mnv2_sslight_traced.pt
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