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mobilint
/
RegNet_X_16GF.tv1_in1k

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

Instructions to use mobilint/RegNet_X_16GF.tv1_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Mobilint

    How to use mobilint/RegNet_X_16GF.tv1_in1k with Mobilint:

    # pip install mblt-model-zoo
    from mblt_model_zoo.vision import MBLT_Engine
    
    model = MBLT_Engine(
        model_cls="RegNet_X_16GF.tv1_in1k",
        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
RegNet_X_16GF.tv1_in1k
437 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 16 commits
parkjinman98's picture
parkjinman98
Publish approved Variant MXQ
c6538fe verified about 14 hours ago
  • aries-rb
    Publish approved Variant MXQ about 14 hours ago
  • .gitattributes
    1.56 kB
    feat: update RegNet_X_16GF model files, adding global4 and global8 variants, and refactor `.mxq` LFS tracking to a wildcard rule. 7 months ago
  • README.md
    3 kB
    Publish approved Variant MXQ about 14 hours ago
  • regnet_x_16gf_IMAGENET1K_V1.onnx
    217 MB
    xet
    Add ONNX model from torchvision 5 months ago
  • regnet_x_1_6gf_IMAGENET1K_V1.onnx
    36.7 MB
    xet
    Update ONNX model from torchvision 5 months ago