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ECOFRI
/
CXR-LLAVA-v2

Feature Extraction
Transformers
PyTorch
Safetensors
CXR-LLAVA
custom_code
Model card Files Files and versions
xet
Community
4

Instructions to use ECOFRI/CXR-LLAVA-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ECOFRI/CXR-LLAVA-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ECOFRI/CXR-LLAVA-v2", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ECOFRI/CXR-LLAVA-v2", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CXR-LLAVA-v2
28.2 GB
Ctrl+K
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  • 1 contributor
History: 15 commits
ECOFRI's picture
ECOFRI
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  • .gitattributes
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  • CXR_LLAVA_HF.py
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  • README.md
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  • VisualTransformer.py
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  • added_tokens.json
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  • config.json
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  • generation_config.json
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  • model-00001-of-00003.safetensors
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  • model.safetensors.index.json
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  • pytorch_model.bin.index.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer.model
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  • tokenizer_config.json
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