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toolevalxm
/
MedicalAI-ClinicalBERT-TestRepo

Text Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community

Instructions to use toolevalxm/MedicalAI-ClinicalBERT-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use toolevalxm/MedicalAI-ClinicalBERT-TestRepo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="toolevalxm/MedicalAI-ClinicalBERT-TestRepo")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("toolevalxm/MedicalAI-ClinicalBERT-TestRepo")
    model = AutoModelForSequenceClassification.from_pretrained("toolevalxm/MedicalAI-ClinicalBERT-TestRepo")
  • Notebooks
  • Google Colab
  • Kaggle
MedicalAI-ClinicalBERT-TestRepo / figures
207 Bytes
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  • 1 contributor
History: 1 commit
toolevalxm
Upload MedicalAI-ClinicalBERT model (epoch_50) with 15 medical benchmark results
c80ca15 3 months ago
  • fig1.png
    69 Bytes
    Upload MedicalAI-ClinicalBERT model (epoch_50) with 15 medical benchmark results 3 months ago
  • fig2.png
    69 Bytes
    Upload MedicalAI-ClinicalBERT model (epoch_50) with 15 medical benchmark results 3 months ago
  • fig3.png
    69 Bytes
    Upload MedicalAI-ClinicalBERT model (epoch_50) with 15 medical benchmark results 3 months ago