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sabber
/
medphi-radiology-summary-adapter

Text Generation
PEFT
Safetensors
English
medical
radiology
summarization
clinical-nlp
healthcare
lora
medphi
impression-generation
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use sabber/medphi-radiology-summary-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use sabber/medphi-radiology-summary-adapter with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("microsoft/MediPhi-Instruct")
    model = PeftModel.from_pretrained(base_model, "sabber/medphi-radiology-summary-adapter")
  • Notebooks
  • Google Colab
  • Kaggle
medphi-radiology-summary-adapter
54 MB
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  • 1 contributor
History: 7 commits
sabber's picture
sabber
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dc00e76 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    11.3 kB
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  • adapter_config.json
    898 Bytes
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  • adapter_model.safetensors
    50.4 MB
    xet
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  • special_tokens_map.json
    569 Bytes
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  • tokenizer.json
    3.62 MB
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  • tokenizer_config.json
    2.93 kB
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