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monajm36
/
ohca-classifier-v9

Text Classification
Transformers
PyTorch
English
bert
medical
cardiology
emergency-medicine
classification
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use monajm36/ohca-classifier-v9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use monajm36/ohca-classifier-v9 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="monajm36/ohca-classifier-v9")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("monajm36/ohca-classifier-v9")
    model = AutoModelForSequenceClassification.from_pretrained("monajm36/ohca-classifier-v9")
  • Notebooks
  • Google Colab
  • Kaggle
ohca-classifier-v9
439 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
monajm36's picture
monajm36
Upload README.md with huggingface_hub
1cace6f verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    1.75 kB
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  • config.json
    839 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    438 MB
    xet
    Upload folder using huggingface_hub 6 months ago
  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    679 kB
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  • tokenizer_config.json
    1.26 kB
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  • training_info.json
    666 Bytes
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  • vocab.txt
    225 kB
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