Instructions to use AdapterHub/bert-base-uncased-pf-scitail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-scitail with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-scitail", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from AdapterHub/bert-base-uncased-pf-scitail: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-scitail/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-scitail/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-scitail/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 0543abef3e240e91cca155bb2f688268f217235771a656a8c9b04a4a5649a529
- Size of remote file:
- 2.37 MB
- SHA256:
- 1cddc550849179899e49c38cc0d4e9f0cf268cabd8fb2577d33a775cbe8819be
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