Instructions to use AdapterHub/roberta-base-pf-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/roberta-base-pf-mrpc with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("AdapterHub/roberta-base-pf-mrpc", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 025a4860f09f12a7e7cbac66499048937e31e68095691c9b1b197931e630d844
- Size of remote file:
- 2.37 MB
- SHA256:
- 8aaac7346f624bf20eb27e76bde352af5d9fad1ac8806319afec7c8fd948cae4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.