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
Commit History
-
Card: link the ERISLab collection
Verified signatureebc70eb -
Card: load with fgir_zoo create_model
Verified signaturebbf66df
-
Add manifest.csv
Verified signatured8b6005 -
Add README.md
Verified signaturef0e5e53 -
Add files using upload-large-folder tool
Verified signature4dfedda -
Add files using upload-large-folder tool
Verified signature97695c8 -
Add files using upload-large-folder tool
Verified signaturef415ccc -
Add files using upload-large-folder tool
Verified signaturea2ea2e8 -
Add files using upload-large-folder tool
Verified signature298885f -
Add files using upload-large-folder tool
Verified signature3fc47cb -
Add files using upload-large-folder tool
Verified signature2f8f5b7 -
Add files using upload-large-folder tool
Verified signature8ed0024 -
Add files using upload-large-folder tool
Verified signature4b9ae54 -
Add files using upload-large-folder tool
Verified signatured9e7088 -
Add files using upload-large-folder tool
Verified signature18bc498 -
Add files using upload-large-folder tool
Verified signaturec352a2c -
Add files using upload-large-folder tool
Verified signaturedcee99f -
Add files using upload-large-folder tool
Verified signature2d3210b -
Add files using upload-large-folder tool
Verified signaturefc52dbe -
Add files using upload-large-folder tool
Verified signatured434911 -
initial commit
Verified signaturea9e7486