Instructions to use AdapterHub/roberta-base-pf-cq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/roberta-base-pf-cq with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("AdapterHub/roberta-base-pf-cq", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1210f1febfb32ce8ab5468128be5c9e5c4d588015a0b222fe7849aa8533b6351
- Size of remote file:
- 7.22 kB
- SHA256:
- 100fab112e3734822ea044c77ef208afe564bcf0dc988a7d389a0c9c8a51baa4
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.