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
fz_224/cub_resnetv2_101x3_bitm_in21k_fz.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2ac511e1105d3e19cb8a45ed3b0f891323b397212268804c93bd70aa130ec9e
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size 1532211377
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