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mobilint
/
DenseNet201

Image Classification
Mobilint
ONNX
Model card Files Files and versions
xet
Community

Instructions to use mobilint/DenseNet201 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Mobilint

    How to use mobilint/DenseNet201 with Mobilint:

    # pip install mblt-model-zoo
    from mblt_model_zoo.vision import MBLT_Engine
    
    model = MBLT_Engine(
        model_cls="DenseNet201",
        model_type="DEFAULT",
        model_path="",
        core_mode="global8",
    )
    
    try:
        image = model.preprocess("path/to/image.jpg")
        output = model(image)
        result = model.postprocess(output)
    finally:
        model.dispose()
    
  • Notebooks
  • Google Colab
  • Kaggle
DenseNet201
260 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 10 commits
parkjinman98's picture
parkjinman98
Add library_name: mobilint to model card metadata
3edfc5b verified 9 days ago
  • aries
    Add aries results and fix .gitattributes order 2 months ago
  • .gitattributes
    1.56 kB
    feat: Update DenseNet201 models by replacing the global variant with global4 and global8, modifying multi and single variants, and generalizing .mxq LFS tracking in .gitattributes. 5 months ago
  • README.md
    626 Bytes
    Add library_name: mobilint to model card metadata 9 days ago
  • densenet201_IMAGENET1K_V1.onnx
    81.1 MB
    xet
    Update ONNX model from torchvision about 2 months ago