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 classification_head.pth from beva/beavers-dam: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/beva/beavers-dam/resolve/main/classification_head.pth
- Command line
-
hf download hf://beva/beavers-dam/classification_head.pth
-
curl -L -o classification_head.pth https://huggingface.co/beva/beavers-dam/resolve/main/classification_head.pth
2.37 MB
- Xet hash:
- 2cd385344494a3020d47d3daea6edf9e5659487f07db670f49b76194294082aa
- Size of remote file:
- 2.37 MB
- SHA256:
- 510e3cc9326d3f70164171b2f52a2cc825bc2616d73ab0986798786f009d572a
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