Instructions to use ERISLab/FGIR-KD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use ERISLab/FGIR-KD with timm:
import timm model = timm.create_model("hf-hub:ERISLab/FGIR-KD", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add students/serial_321
Browse files- students/serial_321/cub_lcnet_035_convnext_base.fb_in22k_ft_in1k_cal_tgda_321.pth +3 -0
- students/serial_321/cub_lcnet_035_resnet101_cal_tgda_321.pth +3 -0
- students/serial_321/cub_lcnet_035_resnetv2_101_cal_tgda_321.pth +3 -0
- students/serial_321/cub_lcnet_035_resnetv2_101x3_bit.goog_in21k_ft_in1k_cal_tgda_321.pth +3 -0
- students/serial_321/cub_lcnet_035_swin_base_patch4_window7_224_cal_tgda_321.pth +3 -0
- students/serial_321/cub_lcnet_035_van_b3_cal_tgda_321.pth +3 -0
- students/serial_321/cub_lcnet_035_vgg19_bn_cal_tgda_321.pth +3 -0
- students/serial_321/cub_lcnet_035_vit_b16_cal_tgda_321.pth +3 -0
students/serial_321/cub_lcnet_035_convnext_base.fb_in22k_ft_in1k_cal_tgda_321.pth
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size 2573445
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students/serial_321/cub_lcnet_035_resnet101_cal_tgda_321.pth
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oid sha256:60379e6ab9a5c47eafd49d31a64bc1ffc4b82dbfcce875229474eaffc8655088
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size 2564181
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students/serial_321/cub_lcnet_035_resnetv2_101_cal_tgda_321.pth
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oid sha256:2f12ded3f18114c3f334da74a56940d656cdb15fe1521888e0cbedf617eb02df
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size 2569957
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students/serial_321/cub_lcnet_035_resnetv2_101x3_bit.goog_in21k_ft_in1k_cal_tgda_321.pth
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oid sha256:f40afd4b95a260759444cb5af678fce511099e34239c56979810da8d7d5030ce
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students/serial_321/cub_lcnet_035_swin_base_patch4_window7_224_cal_tgda_321.pth
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oid sha256:09b60259c6e8a574cc71ab17f352054519feb84afca838b3160c9cd54efa4074
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size 2573093
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students/serial_321/cub_lcnet_035_van_b3_cal_tgda_321.pth
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oid sha256:bbf63706e55663d5a48318aeaae30b7cc0aa077629e4ddb9020a2705cc3aac7b
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size 2563653
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students/serial_321/cub_lcnet_035_vgg19_bn_cal_tgda_321.pth
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oid sha256:e6de2d90217248339a8c7f9321be95c8ecce50b7a806435fa472616b35727d05
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size 2564005
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students/serial_321/cub_lcnet_035_vit_b16_cal_tgda_321.pth
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oid sha256:4c3d72e82d7cbd0d497e1ac512e484728d16a2bed820aad9b4a84f63ecf8e187
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size 2563829
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