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_adapter.bin from AdapterHub/bert-base-uncased-pf-snli: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-snli/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-snli/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-snli/resolve/main/pytorch_adapter.bin
3.59 MB
- Xet hash:
- d6943903d7a4ed57d3f5a38ad3c0805147de2d2ea8d43751b20ea2e5edd4ea3d
- Size of remote file:
- 3.59 MB
- SHA256:
- a7c0195de647e69b3097ed9a8080534d2ac023a9930868fcc611dd335be29695
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