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 teachers/serial_501
Browse files- teachers/serial_501/bach_resnetv2_101x3_bit.goog_in21k_cal_501.pth +3 -0
- teachers/serial_501/bdctkidney_resnetv2_101x3_bit.goog_in21k_cal_501.pth +3 -0
- teachers/serial_501/idriddr_resnetv2_101x3_bit.goog_in21k_cal_501.pth +3 -0
- teachers/serial_501/idridme_resnetv2_101x3_bit.goog_in21k_cal_501.pth +3 -0
- teachers/serial_501/lublung_resnetv2_101x3_bit.goog_in21k_cal_501.pth +3 -0
teachers/serial_501/bach_resnetv2_101x3_bit.goog_in21k_cal_501.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c71d1e9da478dbb6f4bd2cbc4ecb1e291cc537e01c65de40eef03fcd97b331d
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size 1531240405
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teachers/serial_501/bdctkidney_resnetv2_101x3_bit.goog_in21k_cal_501.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:a29cb09c944e42a3b6e022d194f01e3327b8dcab95f2ae6eb6fcca2cac78379b
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size 1531242487
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teachers/serial_501/idriddr_resnetv2_101x3_bit.goog_in21k_cal_501.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:393911c46ac3e2e5e83694a19363bad24ec011fabcc7ad78405b9b07ffb36fb4
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size 1532027846
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teachers/serial_501/idridme_resnetv2_101x3_bit.goog_in21k_cal_501.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:17f60e18ff565277c220f0a4f0aa98d4a7576fb5f98de1934732b775a9986708
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size 1530454982
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teachers/serial_501/lublung_resnetv2_101x3_bit.goog_in21k_cal_501.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef2dfd3214106968141ba072e770ed9e1b60845e6ffb6c1511a52c84a8e3edc5
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size 1535173510
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