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
Download pytorch_adapter.bin from AdapterHub/bert-base-uncased-pf-rte: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-rte/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-rte/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-rte/resolve/main/pytorch_adapter.bin
3.59 MB
- Xet hash:
- 5da463484fd2adb4ce99db60133d56864f8140e59e62aa0b51724e6d237df17a
- Size of remote file:
- 3.59 MB
- SHA256:
- 82e4b4c0710a87f42da77766e379fa947b6d0b6e71c3ef293d954163ef62ea8f
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