Instructions to use AdapterHub/bert-base-uncased-pf-fce_error_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-fce_error_detection with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-fce_error_detection", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/bert-base-uncased-pf-fce_error_detection: direct link, hf CLI and curl.
- Browser
- Download file 3.6 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-fce_error_detection/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-fce_error_detection/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-fce_error_detection/resolve/main/pytorch_adapter.bin
3.6 MB
- Xet hash:
- 4fcd21fa3768e56e610d471e3271c0be17163e2e672b1e99d24a72666de8523b
- Size of remote file:
- 3.6 MB
- SHA256:
- f7a07abffb6c8e095a78d91c528a89b62c8b4f89b710568ed26f0a032ffc6e58
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