Instructions to use AdapterHub/bert-base-uncased-pf-anli_r3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-anli_r3 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-anli_r3", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8846fe06610529a7ae828ea50418a66a26dc75027c348787a5ae915097e2c999
- Size of remote file:
- 2.37 MB
- SHA256:
- 73b7edf6444096e5a479b092300547c6feb86bff489e0d4b76e6056ec46a1f51
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.