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dima806
/
vegetable_15_types_image_detection

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

Instructions to use dima806/vegetable_15_types_image_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dima806/vegetable_15_types_image_detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="dima806/vegetable_15_types_image_detection")
    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("dima806/vegetable_15_types_image_detection")
    model = AutoModelForImageClassification.from_pretrained("dima806/vegetable_15_types_image_detection")
  • Notebooks
  • Google Colab
  • Kaggle
vegetable_15_types_image_detection
2.4 GB
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  • 1 contributor
History: 6 commits
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dima806
Update README.md
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  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
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  • preprocessor_config.json
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  • training_args.bin
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