Instructions to use AdapterHub/xlm-roberta-base_mlki_ep_pfeiffer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/xlm-roberta-base_mlki_ep_pfeiffer with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("xlm-roberta-base") model.load_adapter("AdapterHub/xlm-roberta-base_mlki_ep_pfeiffer", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f6b016aa14caff873cd1d0766e430c1fc9028ab667a4c79d9cb1222dced023c
- Size of remote file:
- 3.59 MB
- SHA256:
- 7c881c68dd15be73ec73a01ee8768dc72b611a1256825f37667c5de8033007dd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.