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toolevalxm
/
ClinicalBERT-Pro-TestRepo

Fill-Mask
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="toolevalxm/ClinicalBERT-Pro-TestRepo")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("toolevalxm/ClinicalBERT-Pro-TestRepo")
    model = AutoModelForMaskedLM.from_pretrained("toolevalxm/ClinicalBERT-Pro-TestRepo")
  • Notebooks
  • Google Colab
  • Kaggle
ClinicalBERT-Pro-TestRepo
7.3 kB
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  • 1 contributor
History: 2 commits
toolevalxm's picture
toolevalxm
Upload ClinicalBERT-Pro best checkpoint (epoch_400) with benchmark results
7752ebf verified 2 months ago
  • figures
    Upload ClinicalBERT-Pro best checkpoint (epoch_400) with benchmark results 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    4.44 kB
    Upload ClinicalBERT-Pro best checkpoint (epoch_400) with benchmark results 2 months ago
  • config.json
    78 Bytes
    Upload ClinicalBERT-Pro best checkpoint (epoch_400) with benchmark results 2 months ago
  • pytorch_model.bin
    25 Bytes
    xet
    Upload ClinicalBERT-Pro best checkpoint (epoch_400) with benchmark results 2 months ago