Instructions to use AdapterHub/bert-base-uncased-sick_pfeiffer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-sick_pfeiffer with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-sick_pfeiffer", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea8a623d5b6e98a1eb9a00e76aba65b8c5ad5d6c4878679035f214b66ea85227
- Size of remote file:
- 3.59 MB
- SHA256:
- 473064fe1104adb0b89bd37cc124dae588613f829b27014f0b2d8627abdc7406
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.