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mobilint
/
ShuffleNet_V2_X1_0

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

Instructions to use mobilint/ShuffleNet_V2_X1_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Mobilint

    How to use mobilint/ShuffleNet_V2_X1_0 with Mobilint:

    # pip install mblt-model-zoo
    from mblt_model_zoo.vision import MBLT_Engine
    
    model = MBLT_Engine(
        model_cls="ShuffleNet_V2_X1_0",
        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
ShuffleNet_V2_X1_0 / aries
15.6 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 2 commits
Kanybek Asanbekov
Move mxq and best_result to aries folder and update gitattributes
e5480ab about 2 months ago
  • global
    Upload folder using huggingface_hub 7 months ago
  • multi
    Upload folder using huggingface_hub 7 months ago
  • single
    Upload folder using huggingface_hub 7 months ago
  • best_result.json
    514 Bytes
    Move mxq and best_result to aries folder and update gitattributes about 2 months ago
  • shufflenet_v2_x1_0_IMAGENET1K_V1.mxq
    3.75 MB
    xet
    Move mxq and best_result to aries folder and update gitattributes about 2 months ago