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mpkato
/
chemu-biobert-ner

Token Classification
Transformers
Safetensors
English
bert
ner
chemical
biomedical
chemistry
patents
chemu
biobert
Model card Files Files and versions
xet
Community

Instructions to use mpkato/chemu-biobert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mpkato/chemu-biobert-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="mpkato/chemu-biobert-ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mpkato/chemu-biobert-ner")
    model = AutoModelForTokenClassification.from_pretrained("mpkato/chemu-biobert-ner")
  • Notebooks
  • Google Colab
  • Kaggle
chemu-biobert-ner
432 MB
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  • 1 contributor
History: 2 commits
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mpkato
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  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    7.67 kB
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  • config.json
    2.03 kB
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  • model.safetensors
    431 MB
    xet
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  • tokenizer.json
    669 kB
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  • tokenizer_config.json
    350 Bytes
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