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
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Download README.md from beva/beavers-dam: direct link, hf CLI and curl.
- Browser
- Download file 91 Bytes
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https://huggingface.co/beva/beavers-dam/resolve/main/README.md
- Command line
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hf download hf://beva/beavers-dam/README.md
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curl -L -o README.md https://huggingface.co/beva/beavers-dam/resolve/main/README.md
91 Bytes
metadata
language:
- he
library_name: adapter-transformers
pipeline_tag: text-classification