Instructions to use AdapterHub/bert-base-uncased-pf-boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-boolq with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-boolq", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46010e7f98bae87629ce63cd4d068838e22028997880d447c5a065f412b0944f
- Size of remote file:
- 3.6 MB
- SHA256:
- 954b9c3f70ab8cf0ce81a56bb33f53328090200a88eb216f73d8d6a46063ddb3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.