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HaiZhiYan
/
CheX-Phi35V

Visual Question Answering
Transformers
Safetensors
English
medical-vision-language-model
chest-xray
preference-optimization
Model card Files Files and versions
xet
Community

Instructions to use HaiZhiYan/CheX-Phi35V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HaiZhiYan/CheX-Phi35V with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="HaiZhiYan/CheX-Phi35V")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("HaiZhiYan/CheX-Phi35V", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CheX-Phi35V / CheX-Phi-3.5-vision-instruct-SFT
8.49 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
HaiZhiYan's picture
HaiZhiYan
Upload 15 files
fd93952 verified 11 months ago
  • chat_template.json
    249 Bytes
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  • config.json
    3.73 kB
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  • configuration_phi3_v.py
    10.7 kB
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  • generation_config.json
    136 Bytes
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  • model-00001-of-00002.safetensors
    5.14 GB
    xet
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  • model-00002-of-00002.safetensors
    3.35 GB
    xet
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  • model.safetensors.index.json
    69 kB
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  • modeling_phi3_v.py
    88.9 kB
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  • preprocessor_config.json
    443 Bytes
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  • processing_phi3_v.py
    22.1 kB
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  • processor_config.json
    119 Bytes
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  • pytorch_model.bin.index.json
    69 kB
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  • special_tokens_map.json
    734 Bytes
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  • tokenizer.json
    3.63 MB
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  • tokenizer_config.json
    10.4 kB
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