Instructions to use beva/beavers-dam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use beva/beavers-dam with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("beva/beavers-dam", set_active=True) - Notebooks
- Google Colab
- Kaggle
Upload beaver-dam.pth
Browse files- beaver-dam.pth +3 -0
beaver-dam.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c955199c48736a8beb44ba2acd6a6d733b7b8daaf6fca237e3bfa4f241fd638
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size 438141330
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