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:
- 501798d97a29c55c564477bf63f0a5afa1a79e07aec7a0f0f87a4b3301565e8d
- Size of remote file:
- 3.59 MB
- SHA256:
- 6ae2ac53cd4ad4b8422015c6c7a0c0d250643832ad1912ef2288aaf517afe9e5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.