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ncats
/
EpiExtract4GARD-v2

Token Classification
Transformers
PyTorch
English
bert
ncats
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use ncats/EpiExtract4GARD-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ncats/EpiExtract4GARD-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ncats/EpiExtract4GARD-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ncats/EpiExtract4GARD-v2")
    model = AutoModelForTokenClassification.from_pretrained("ncats/EpiExtract4GARD-v2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
EpiExtract4GARD-v2
141 kB
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  • 1 contributor
History: 3 commits
wzkariampuzha's picture
wzkariampuzha
Upload output.log
77de83f over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.yaml
    136 kB
    Upload config.yaml over 4 years ago
  • output.log
    3.92 kB
    Upload output.log over 4 years ago