Instructions to use AdapterHub/bert-base-uncased-pf-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-mrpc with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-mrpc", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 718f8c295537816ec0cc108e7f4abafaaa4528fba78ad3ec3533829dbbd425dd
- Size of remote file:
- 2.37 MB
- SHA256:
- 5145aa8d5b00538a7db0038d8a6dd83e564a47323b10f7e63100c34453cb1377
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.