Instructions to use EMBO/sd-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMBO/sd-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EMBO/sd-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EMBO/sd-ner") model = AutoModelForTokenClassification.from_pretrained("EMBO/sd-ner") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 916765c
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 sha256:8f73900b7994ae25c83a59d9d662d1c404e391ad2ebd236850b5f5b4d4b95da6
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size 496273445
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