Instructions to use SpanBERT/spanbert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpanBERT/spanbert-base-cased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SpanBERT/spanbert-base-cased", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d6d612f9746de20e4afe54dbd2a8bd2f5da516776a44243c2ad388be277449d2
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size 215475882
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