Instructions to use AdapterHub/facebook-bart-base_nli_multinli_houlsby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/facebook-bart-base_nli_multinli_houlsby with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("facebook/bart-base") model.load_adapter("AdapterHub/facebook-bart-base_nli_multinli_houlsby", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from AdapterHub/facebook-bart-base_nli_multinli_houlsby: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/AdapterHub/facebook-bart-base_nli_multinli_houlsby/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/facebook-bart-base_nli_multinli_houlsby/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/facebook-bart-base_nli_multinli_houlsby/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- ab9c8d8bf7c57a1ffa174ca55cd5b09057abde6d8f8fe3841fabf30665b8b9d0
- Size of remote file:
- 2.37 MB
- SHA256:
- 9915f64006c03fd594785d4394586b2aeada564d5c83f7783eadf6b054f3bd20
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