Instructions to use AdapterHub/bert-base-uncased-pf-winogrande with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-winogrande with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-winogrande", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfc63f309b418043cc29f221c84f5dfeb9dd7559b3118002d58f65fdc066fbaa
- Size of remote file:
- 3.6 MB
- SHA256:
- ba42d23516682f152b89a561fd675ddc3658181f1878c4f4996a41a8518d99db
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.