Instructions to use AdapterHub/bert-base-uncased-pf-rotten_tomatoes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-rotten_tomatoes with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-rotten_tomatoes", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdf293961513f35b210bbefc601f713d48dd612c49031b68a53a7f13520c362a
- Size of remote file:
- 3.6 MB
- SHA256:
- 557bf94ee05db947ecf01e0c4f55be8efe1cf9e6500451518eaf8af81c12a130
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.