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("<base-model-id>") model.load_adapter("beva/beavers-dam", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download beaver-dam.pth from beva/beavers-dam: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/beva/beavers-dam/resolve/main/beaver-dam.pth
- Command line
-
hf download hf://beva/beavers-dam/beaver-dam.pth
-
curl -L -o beaver-dam.pth https://huggingface.co/beva/beavers-dam/resolve/main/beaver-dam.pth
438 MB
- Xet hash:
- 650b82546f215ba8d55c8c877d782e3c69a765d18776412a2649b31ddc452b44
- Size of remote file:
- 438 MB
- SHA256:
- 6c955199c48736a8beb44ba2acd6a6d733b7b8daaf6fca237e3bfa4f241fd638
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