Instructions to use ERISLab/FGIR-Backbones with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use ERISLab/FGIR-Backbones with timm:
import timm model = timm.create_model("hf-hub:ERISLab/FGIR-Backbones", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add files using upload-large-folder tool
Browse files
cal_448/cars_resnet18_cal.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:27419715b480bc942e8e46f61c20b4af7895826e62af25d819f3f88cec2ea394
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size 57705747
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