Instructions to use ERISLab/TGDA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use ERISLab/TGDA with timm:
import timm model = timm.create_model("hf-hub:ERISLab/TGDA", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add sweeps_128
Browse files
sweeps_128/cub_resnet18_resnet101_cal_tgda_0.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:74562c6800bc96e4d91c02d4a1ef3a8e9a3fa0a4f327ffc844ead3f9ff9b9738
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sweeps_128/cub_resnet18_resnet101_cal_tgda_1.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a6009c001e80242c0cd0f803a65ff3d2b32090f35e1fb49eabaeac67f3b6f05
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size 45207115
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