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justpyschitry
/
Medical_Article_Classifier_by_ICD-11_Chapter

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use justpyschitry/Medical_Article_Classifier_by_ICD-11_Chapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use justpyschitry/Medical_Article_Classifier_by_ICD-11_Chapter with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="justpyschitry/Medical_Article_Classifier_by_ICD-11_Chapter")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("justpyschitry/Medical_Article_Classifier_by_ICD-11_Chapter")
    model = AutoModelForSequenceClassification.from_pretrained("justpyschitry/Medical_Article_Classifier_by_ICD-11_Chapter", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.3 kB
    Commit From AutoTrain about 4 years ago
  • README.md
    1.64 kB
    Update README.md almost 4 years ago
  • config.json
    2.73 kB
    Commit From AutoTrain about 4 years ago
  • pytorch_model.bin
    438 MB
    xet
    Commit From AutoTrain about 4 years ago
  • sample_input.pkl
    2.85 kB
    xet
    Commit From AutoTrain about 4 years ago
  • special_tokens_map.json
    112 Bytes
    Commit From AutoTrain about 4 years ago
  • tokenizer.json
    466 kB
    Commit From AutoTrain about 4 years ago
  • tokenizer_config.json
    313 Bytes
    Commit From AutoTrain about 4 years ago
  • vocab.txt
    232 kB
    Commit From AutoTrain about 4 years ago