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
- Xet hash:
- 2cd385344494a3020d47d3daea6edf9e5659487f07db670f49b76194294082aa
- Size of remote file:
- 2.37 MB
- SHA256:
- 510e3cc9326d3f70164171b2f52a2cc825bc2616d73ab0986798786f009d572a
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