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Falconsai
/
medical_summarization

Summarization
Transformers
PyTorch
Core ML
Safetensors
English
t5
text2text-generation
medical
text-generation-inference
Model card Files Files and versions
xet
Community
6

Instructions to use Falconsai/medical_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Falconsai/medical_summarization with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="Falconsai/medical_summarization")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Falconsai/medical_summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("Falconsai/medical_summarization")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
medical_summarization / coreml
310 MB
Ctrl+K
Ctrl+K
  • 6 contributors
History: 1 commit
RealFalconsAI's picture
RealFalconsAI
Add Core ML conversion (#1)
32f9890 over 2 years ago
  • text2text-generation
    Add Core ML conversion (#1) over 2 years ago