Instructions to use SpanBERT/spanbert-large-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpanBERT/spanbert-large-cased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SpanBERT/spanbert-large-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
a49cba4
1
Parent(s): 6f28c08
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:bafbca9bc2e60e903863f2ee107795fde0e500ab1a391206596ce6a6dc77a862
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size 669271707
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