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_model_head.bin from AdapterHub/bert-base-uncased-pf-cola: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-cola/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-cola/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-cola/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 7e74de89d75123e7a64165589d7e7b0269b1e85f924133c41f6a369ceafda84b
- Size of remote file:
- 2.37 MB
- SHA256:
- 91888b876857ae24b3d4ba919232cb2d8de4a7f1471c144f465b6fc6a074e703
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