Instructions to use jgrc3/seqBN_adapter_classification_noPre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use jgrc3/seqBN_adapter_classification_noPre with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("jgrc3/seqBN_adapter_classification_noPre", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from jgrc3/seqBN_adapter_classification_noPre: direct link, hf CLI and curl.
- Browser
- Download file 3.6 MB
-
https://huggingface.co/jgrc3/seqBN_adapter_classification_noPre/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://jgrc3/seqBN_adapter_classification_noPre/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/jgrc3/seqBN_adapter_classification_noPre/resolve/main/pytorch_adapter.bin
3.6 MB
- Xet hash:
- 6cb9aa060957c28053f91f319e615ecab62f0994660c831b9963600abb68a911
- Size of remote file:
- 3.6 MB
- SHA256:
- ce6e1106d175770304891dfc640ebfc62bc92cd429d0587da6ea4afd344555e5
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