Instructions to use AdapterHub/bert-base-uncased-pf-scicite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-scicite with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-scicite", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/bert-base-uncased-pf-scicite: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-scicite/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-scicite/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-scicite/resolve/main/pytorch_adapter.bin
3.59 MB
- Xet hash:
- a2335fd8b9b62444cb7ba37627eb39d889f5402f065540ee6eb02a778a8d8a39
- Size of remote file:
- 3.59 MB
- SHA256:
- 3813a6dbd9e22cbed17c39d9573bb8a6581373af69a177c35c44beb45214f4a3
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