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fxmarty
/
levit-256-onnx

Image Classification
Transformers
ONNX
levit
vision
Model card Files Files and versions
xet
Community

Instructions to use fxmarty/levit-256-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fxmarty/levit-256-onnx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="fxmarty/levit-256-onnx")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("fxmarty/levit-256-onnx")
    model = AutoModelForImageClassification.from_pretrained("fxmarty/levit-256-onnx")
  • Notebooks
  • Google Colab
  • Kaggle
levit-256-onnx
76 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
Felix Marty
mention torch fx
9f0bbf2 almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • README.md
    3.43 kB
    mention torch fx almost 4 years ago
  • config.json
    70 kB
    added moedl almost 4 years ago
  • model.onnx
    75.9 MB
    xet
    added moedl almost 4 years ago
  • preprocessor_config.json
    268 Bytes
    add preprocessor config almost 4 years ago