Instructions to use AdapterHub/bert-base-uncased-pf-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-rte with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-rte", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 881ccdd544f68d4eb440a2f1b84aac5bc34c7550a1a58a15d8e16d07524a86fe
- Size of remote file:
- 2.37 MB
- SHA256:
- 41e4f23ce0407b3a2c6676a158c8bbb6bdd37622b30547557206218273cefb5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.