Instructions to use AdapterHub/bert-base-uncased-pf-drop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-drop with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-drop", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3886af906b2ebdd95fbae6d1c5d5bf59a77337293b6632629ef723f64de9351
- Size of remote file:
- 3.59 MB
- SHA256:
- 2ad78a06c43cf093b85ba6d3350c9a800649ec6222df861866405ea80e4b93eb
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.