Instructions to use AdapterHub/bert-base-uncased-pf-qqp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-qqp with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-qqp", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/bert-base-uncased-pf-qqp: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-qqp/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-qqp/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-qqp/resolve/main/pytorch_adapter.bin
3.59 MB
- Xet hash:
- d998fe0fbe14f6574eadea2802cf01f6c438b755921792b5301cbfbbf9bb4407
- Size of remote file:
- 3.59 MB
- SHA256:
- 51a5901a3f7f764d350ed615ebea7c361f2f62271da3dc26a769e19a4a2c042a
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