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m42-health
/
CXformer-base

Image Feature Extraction
Transformers
Safetensors
dinov2_with_registers
Model card Files Files and versions
xet
Community

Instructions to use m42-health/CXformer-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use m42-health/CXformer-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="m42-health/CXformer-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("m42-health/CXformer-base")
    model = AutoModel.from_pretrained("m42-health/CXformer-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CXformer-base
347 MB
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  • 3 contributors
History: 15 commits
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pkanithi
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  • preprocessor_config.json
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