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_403
Browse files
students/serial_403/imagenet1k_levit_128s_convnext_base.fb_in22k_cal_403.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3c19cdffbf623514a4342bae9f6d2e6fe5a08183006577798b547eb60219cc8
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size 29855609
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students/serial_403/imagenet1k_levit_128s_resnetv2_101.a1h_in1k_cal_403.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:36601974ef9fe92483636daeaa91129facc40afb37176382ecc7064d1b9fe976
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size 29855292
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students/serial_403/imagenet1k_levit_128s_resnetv2_101x3_bit.goog_in21k_cal_403.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:21f1e33b0aa8ecbec19ffdc4bc9f37e1a2c592be80cb89d67ffcde73f3056f78
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size 29857956
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