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Suramya
/
Medical_NER_Testing

Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Suramya/Medical_NER_Testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Suramya/Medical_NER_Testing with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Suramya/Medical_NER_Testing")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Suramya/Medical_NER_Testing")
    model = AutoModelForTokenClassification.from_pretrained("Suramya/Medical_NER_Testing")
  • Notebooks
  • Google Colab
  • Kaggle
Medical_NER_Testing / runs
32.4 kB
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  • 1 contributor
History: 1 commit
Suramya's picture
Suramya
Suramya/Newmsd
9866947 verified almost 2 years ago
  • Jun10_10-52-46_fc2cea68d316
    Suramya/Newmsd almost 2 years ago