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noamaanMulla-03
/
patient-condition-classifier

Text Classification
Transformers
Safetensors
PyTorch
English
deberta-v2
medical
drug-reviews
healthcare
deberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use noamaanMulla-03/patient-condition-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use noamaanMulla-03/patient-condition-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="noamaanMulla-03/patient-condition-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("noamaanMulla-03/patient-condition-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("noamaanMulla-03/patient-condition-classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
patient-condition-classifier
1.75 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
noamaanMulla-03's picture
noamaanMulla-03
Update model card
507d54c verified 6 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    2.12 kB
    Update model card 6 days ago
  • config.json
    52.1 kB
    Initial upload: DeBERTa-v3-large, 82.8% accuracy 6 days ago
  • model.safetensors
    1.74 GB
    xet
    Initial upload: DeBERTa-v3-large, 82.8% accuracy 6 days ago
  • tokenizer.json
    8.34 MB
    Add tokenizer 6 days ago
  • tokenizer_config.json
    639 Bytes
    Add tokenizer 6 days ago