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_model_head.bin from AdapterHub/bert-base-uncased-pf-scicite: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-scicite/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-scicite/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-scicite/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 7cd9224fcc1dea12338e28b97901d3b1ef5ed18a41a705fda81cf4d3c3a3563b
- Size of remote file:
- 2.37 MB
- SHA256:
- ba7deaee53e1550bc971f5e9fc16828879e91a08ca452362b30b5e8db53cdd0e
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