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OmerShah
/
MedGemma

Question Answering
Transformers
Safetensors
English
gemma3_text
text-generation
medical
biology
chemistry
text-generation-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use OmerShah/MedGemma with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="OmerShah/MedGemma")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("OmerShah/MedGemma")
    model = AutoModelForCausalLM.from_pretrained("OmerShah/MedGemma")
  • Notebooks
  • Google Colab
  • Kaggle
MedGemma
542 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
OmerShah's picture
OmerShah
Update README.md
ebbc3e3 verified 9 months ago
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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • chat_template.jinja
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  • config.json
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  • generation_config.json
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  • model.safetensors
    536 MB
    xet
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  • special_tokens_map.json
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  • tokenizer.model
    4.69 MB
    xet
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  • tokenizer_config.json
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