Instructions to use AdapterHub/bert-base-uncased-pf-newsqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased-pf-newsqa with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased-pf-newsqa", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from AdapterHub/bert-base-uncased-pf-newsqa: direct link, hf CLI and curl.
- Browser
- Download file 7.22 kB
-
https://huggingface.co/AdapterHub/bert-base-uncased-pf-newsqa/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/bert-base-uncased-pf-newsqa/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/bert-base-uncased-pf-newsqa/resolve/main/pytorch_model_head.bin
7.22 kB
- Xet hash:
- dc202e7a16952f820e35289afd4093a263ab992dcd7758deec057e328accbf8c
- Size of remote file:
- 7.22 kB
- SHA256:
- 2eae9704d5fc01f3efa49d63a9efc1166ff210ad60d6aa2db41f4a3bc15471f0
路
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