ONNX Model Zoo

randomNone/ai_frida_onnx

By randomNone · ↓ 0 · ♥ 0 · Updated 2025-11-04

What's in this repo

This page lists the files in randomNone/ai_frida_onnx, including t5_encoder.onnx.

  • 1 ONNX models (.onnx files)
  • 225 files, including 50 .weight, 4 .json, 1 .txt, 1 .onnx
  • Last updated 2025-11-04

ONNX files

File Size Download
t5_encoder.onnx — Download

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.

No README provided by the author.

Model info

onnx region:us
↓ 0 ♥ 0

Created: 2025-11-04

Updated: 2025-11-04

View on Hugging Face

Files (225)

.gitattributes
encoder.block.0.layer.0.layer_norm.weight
encoder.block.0.layer.1.layer_norm.weight
encoder.block.1.layer.0.layer_norm.weight
encoder.block.1.layer.1.layer_norm.weight
encoder.block.10.layer.0.layer_norm.weight
encoder.block.10.layer.1.layer_norm.weight
encoder.block.11.layer.0.layer_norm.weight
encoder.block.11.layer.1.layer_norm.weight
encoder.block.12.layer.0.layer_norm.weight
encoder.block.12.layer.1.layer_norm.weight
encoder.block.13.layer.0.layer_norm.weight
encoder.block.13.layer.1.layer_norm.weight
encoder.block.14.layer.0.layer_norm.weight
encoder.block.14.layer.1.layer_norm.weight
encoder.block.15.layer.0.layer_norm.weight
encoder.block.15.layer.1.layer_norm.weight
encoder.block.16.layer.0.layer_norm.weight
encoder.block.16.layer.1.layer_norm.weight
encoder.block.17.layer.0.layer_norm.weight
encoder.block.17.layer.1.layer_norm.weight
encoder.block.18.layer.0.layer_norm.weight
encoder.block.18.layer.1.layer_norm.weight
encoder.block.19.layer.0.layer_norm.weight
encoder.block.19.layer.1.layer_norm.weight
encoder.block.2.layer.0.layer_norm.weight
encoder.block.2.layer.1.layer_norm.weight
encoder.block.20.layer.0.layer_norm.weight
encoder.block.20.layer.1.layer_norm.weight
encoder.block.21.layer.0.layer_norm.weight
encoder.block.21.layer.1.layer_norm.weight
encoder.block.22.layer.0.layer_norm.weight
encoder.block.22.layer.1.layer_norm.weight
encoder.block.23.layer.0.layer_norm.weight
encoder.block.23.layer.1.layer_norm.weight
encoder.block.3.layer.0.layer_norm.weight
encoder.block.3.layer.1.layer_norm.weight
encoder.block.4.layer.0.layer_norm.weight
encoder.block.4.layer.1.layer_norm.weight
encoder.block.5.layer.0.layer_norm.weight
encoder.block.5.layer.1.layer_norm.weight
encoder.block.6.layer.0.layer_norm.weight
encoder.block.6.layer.1.layer_norm.weight
encoder.block.7.layer.0.layer_norm.weight
encoder.block.7.layer.1.layer_norm.weight
encoder.block.8.layer.0.layer_norm.weight
encoder.block.8.layer.1.layer_norm.weight
encoder.block.9.layer.0.layer_norm.weight
encoder.block.9.layer.1.layer_norm.weight
encoder.final_layer_norm.weight
merges.txt
onnx__MatMul_2789
onnx__MatMul_2799
onnx__MatMul_2800
onnx__MatMul_2809
onnx__MatMul_2810
onnx__MatMul_2811
onnx__MatMul_2812
onnx__MatMul_2813
onnx__MatMul_2823
onnx__MatMul_2824
onnx__MatMul_2827
onnx__MatMul_2828
onnx__MatMul_2829
onnx__MatMul_2830
onnx__MatMul_2831
onnx__MatMul_2841
onnx__MatMul_2842
onnx__MatMul_2845
onnx__MatMul_2846
onnx__MatMul_2847
onnx__MatMul_2848
onnx__MatMul_2849
onnx__MatMul_2859
onnx__MatMul_2860
onnx__MatMul_2863
onnx__MatMul_2864
onnx__MatMul_2865
onnx__MatMul_2866
onnx__MatMul_2867
onnx__MatMul_2877
onnx__MatMul_2878
onnx__MatMul_2881
onnx__MatMul_2882
onnx__MatMul_2883
onnx__MatMul_2884
onnx__MatMul_2885
onnx__MatMul_2895
onnx__MatMul_2896
onnx__MatMul_2899
onnx__MatMul_2900
onnx__MatMul_2901
onnx__MatMul_2902
onnx__MatMul_2903
onnx__MatMul_2913
onnx__MatMul_2914
onnx__MatMul_2917
onnx__MatMul_2918
onnx__MatMul_2919
onnx__MatMul_2920
onnx__MatMul_2921
onnx__MatMul_2931
onnx__MatMul_2932
onnx__MatMul_2935
onnx__MatMul_2936
onnx__MatMul_2937
onnx__MatMul_2938
onnx__MatMul_2939
onnx__MatMul_2949
onnx__MatMul_2950
onnx__MatMul_2953
onnx__MatMul_2954
onnx__MatMul_2955
onnx__MatMul_2956
onnx__MatMul_2957
onnx__MatMul_2967
onnx__MatMul_2968
onnx__MatMul_2971
onnx__MatMul_2972
onnx__MatMul_2973
onnx__MatMul_2974
onnx__MatMul_2975
onnx__MatMul_2985
onnx__MatMul_2986
onnx__MatMul_2989
onnx__MatMul_2990
onnx__MatMul_2991
onnx__MatMul_2992
onnx__MatMul_2993
onnx__MatMul_3003
onnx__MatMul_3004
onnx__MatMul_3007
onnx__MatMul_3008
onnx__MatMul_3009
onnx__MatMul_3010
onnx__MatMul_3011
onnx__MatMul_3021
onnx__MatMul_3022
onnx__MatMul_3025
onnx__MatMul_3026
onnx__MatMul_3027
onnx__MatMul_3028
onnx__MatMul_3029
onnx__MatMul_3039
onnx__MatMul_3040
onnx__MatMul_3043
onnx__MatMul_3044
onnx__MatMul_3045
onnx__MatMul_3046
onnx__MatMul_3047
onnx__MatMul_3057
onnx__MatMul_3058
onnx__MatMul_3061
onnx__MatMul_3062
onnx__MatMul_3063
onnx__MatMul_3064
onnx__MatMul_3065
onnx__MatMul_3075
onnx__MatMul_3076
onnx__MatMul_3079
onnx__MatMul_3080
onnx__MatMul_3081
onnx__MatMul_3082
onnx__MatMul_3083
onnx__MatMul_3093
onnx__MatMul_3094
onnx__MatMul_3097
onnx__MatMul_3098
onnx__MatMul_3099
onnx__MatMul_3100
onnx__MatMul_3101
onnx__MatMul_3111
onnx__MatMul_3112
onnx__MatMul_3115
onnx__MatMul_3116
onnx__MatMul_3117
onnx__MatMul_3118
onnx__MatMul_3119
onnx__MatMul_3129
onnx__MatMul_3130
onnx__MatMul_3133
onnx__MatMul_3134
onnx__MatMul_3135
onnx__MatMul_3136
onnx__MatMul_3137
onnx__MatMul_3147
onnx__MatMul_3148
onnx__MatMul_3151
onnx__MatMul_3152
onnx__MatMul_3153
onnx__MatMul_3154
onnx__MatMul_3155
onnx__MatMul_3165
onnx__MatMul_3166
onnx__MatMul_3169
onnx__MatMul_3170
onnx__MatMul_3171
onnx__MatMul_3172
onnx__MatMul_3173
onnx__MatMul_3183
onnx__MatMul_3184
onnx__MatMul_3187
onnx__MatMul_3188
onnx__MatMul_3189
onnx__MatMul_3190
onnx__MatMul_3191
onnx__MatMul_3201
onnx__MatMul_3202
onnx__MatMul_3205
onnx__MatMul_3206
onnx__MatMul_3207
onnx__MatMul_3208
onnx__MatMul_3209
onnx__MatMul_3219
onnx__MatMul_3220
onnx__MatMul_3223
onnx__MatMul_3224
onnx__MatMul_3225
onnx__MatMul_3226
shared.weight
special_tokens_map.json
t5_encoder.onnx ONNX
tokenizer.json
tokenizer_config.json
vocab.json

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