Instructions to use AdapterHub/bert-base-uncased-pf-boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-boolq with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-boolq", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from AdapterHub/bert-base-uncased-pf-boolq: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-boolq/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-boolq/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-boolq/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 3999648adc87ef01321317ddc0faec67ce48da85da3460896be1772627947f1f
- Size of remote file:
- 2.37 MB
- SHA256:
- 827cc9f572899cbf0fcfbeb3ef90add99bcdae328fdcb3a6798ce46cd320e11d
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