Instructions to use AdapterHub/bert-base-uncased-pf-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-cola with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-cola", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/bert-base-uncased-pf-cola: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-cola/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-cola/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-cola/resolve/main/pytorch_adapter.bin
3.59 MB
- Xet hash:
- 9ccfe3834f69cb4a0b2b98ed2a2d4df9f6666a552add22e6994e7f6c2b30eee7
- Size of remote file:
- 3.59 MB
- SHA256:
- 924fbe9eb2a1a8fffb371637041b35ae0ca1bc3c61e42e749a6ced7b58299f31
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