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jjiw
/
densenet161-onnx

Image Classification
Transformers
ONNX
densenet
Model card Files Files and versions
xet
Community

Instructions to use jjiw/densenet161-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jjiw/densenet161-onnx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="jjiw/densenet161-onnx")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import DenseNet161ForImageClassification
    model = DenseNet161ForImageClassification.from_pretrained("jjiw/densenet161-onnx", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
densenet161-onnx
107 MB
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  • 1 contributor
History: 11 commits
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jjiw
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  • .gitattributes
    1.46 kB
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  • README.md
    313 Bytes
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  • api-inference-config.json
    212 Bytes
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  • config.json
    367 Bytes
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  • model.onnx
    107 MB
    xet
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  • preprocessor_config.json
    279 Bytes
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