Instructions to use AdapterHub/bert-base-uncased-pf-hotpotqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-hotpotqa with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-hotpotqa", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from AdapterHub/bert-base-uncased-pf-hotpotqa: direct link, hf CLI and curl.
- Browser
- Download file 7.22 kB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-hotpotqa/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-hotpotqa/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-hotpotqa/resolve/main/pytorch_model_head.bin
7.22 kB
- Xet hash:
- 5119f74b6ca71056b2d6cfe2e899c18bad2a40810a0104fa2e85bae64b40472e
- Size of remote file:
- 7.22 kB
- SHA256:
- b064926ed12d19d43186d09c454d52f6c654469a696b8f0e025bee8bbfdff7d6
路
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