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ProDev9515
/
roadwork-72-2QPR44V

Image Classification
Transformers
Safetensors
vit
Model card Files Files and versions
xet
Community

Instructions to use ProDev9515/roadwork-72-2QPR44V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ProDev9515/roadwork-72-2QPR44V with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ProDev9515/roadwork-72-2QPR44V")
    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("ProDev9515/roadwork-72-2QPR44V")
    model = AutoModelForImageClassification.from_pretrained("ProDev9515/roadwork-72-2QPR44V")
  • Notebooks
  • Google Colab
  • Kaggle
roadwork-72-2QPR44V
343 MB
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  • 1 contributor
History: 2 commits
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ProDev9515
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  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    5.17 kB
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  • config.json
    714 Bytes
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  • model.safetensors
    343 MB
    xet
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  • model_card.json
    217 Bytes
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  • preprocessor_config.json
    431 Bytes
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  • training_args.bin
    5.3 kB
    xet
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