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intermezzo672
/
NHS-dmis-binary

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use intermezzo672/NHS-dmis-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use intermezzo672/NHS-dmis-binary with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="intermezzo672/NHS-dmis-binary")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("intermezzo672/NHS-dmis-binary")
    model = AutoModelForSequenceClassification.from_pretrained("intermezzo672/NHS-dmis-binary")
  • Notebooks
  • Google Colab
  • Kaggle
NHS-dmis-binary / runs
258 kB
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  • 1 contributor
History: 1 commit
intermezzo672's picture
intermezzo672
NHS-dmis-binary-random
d633fbe verified about 2 years ago
  • Mar26_05-56-06_d4944df8337e
    NHS-dmis-binary-random about 2 years ago