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ASD9987
/
MOFT-Lingshu-7B

Visual Question Answering
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
vision-language
multimodal
medical
healthcare
radiology
pathology
moft
multi-objective-finetuning
lmc
lingshu
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use ASD9987/MOFT-Lingshu-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ASD9987/MOFT-Lingshu-7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="ASD9987/MOFT-Lingshu-7B")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("ASD9987/MOFT-Lingshu-7B")
    model = AutoModelForMultimodalLM.from_pretrained("ASD9987/MOFT-Lingshu-7B")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

[WIP] Update model weights and tokenizer files (multi-commit 6f6d2730387b00816df9edf601a78889169402aa82d0a88746773f90e5c3fdc0)

#1 opened about 1 month ago by
ASD9987
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