Instructions to use AdapterHub/bert-base-uncased-pf-wic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-wic with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-wic", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/bert-base-uncased-pf-wic: direct link, hf CLI and curl.
- Browser
- Download file 3.6 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-wic/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-wic/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-wic/resolve/main/pytorch_adapter.bin
3.6 MB
- Xet hash:
- df007e80aafc660591b68f4460f8288e7d637ef9eae1bb2e45383da436e872ff
- Size of remote file:
- 3.6 MB
- SHA256:
- a4427425e09ee9aac3fdaae88fa3a78b9ac9b60b8e0211c84606b7482ae3330d
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