Instructions to use AdapterHub/bert-base-uncased-pf-snli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-snli with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-snli", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from AdapterHub/bert-base-uncased-pf-snli: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-snli/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-snli/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-snli/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- db4d205095d63032683b00aa86bc2debcf74076fca64c92e878512c7e77f676b
- Size of remote file:
- 2.37 MB
- SHA256:
- 72e3fe8d6484247197e2ef9ab3bc6e093f2d2f31f54138c74d1d0f3a81631ca4
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