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mobilint
/
RepViT_M3

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

Instructions to use mobilint/RepViT_M3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Mobilint

    How to use mobilint/RepViT_M3 with Mobilint:

    # pip install mblt-model-zoo
    from mblt_model_zoo.vision import MBLT_Engine
    
    model = MBLT_Engine(
        model_cls="RepViT_M3",
        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
RepViT_M3 / aries
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
Kanybek Asanbekov
Migrate mxq and best_result to aries folder
d355efa about 2 months ago
  • best_result.json
    514 Bytes
    Migrate mxq and best_result to aries folder about 2 months ago
  • repvit_m3.mxq
    12.1 MB
    xet
    Migrate mxq and best_result to aries folder about 2 months ago