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dhand33p
/
detectindfood

Image Classification
Transformers
PyTorch
vit
Model card Files Files and versions
xet
Community
2

Instructions to use dhand33p/detectindfood with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dhand33p/detectindfood with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="dhand33p/detectindfood")
    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("dhand33p/detectindfood")
    model = AutoModelForImageClassification.from_pretrained("dhand33p/detectindfood")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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  • all_results.json
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  • config.json
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  • preprocessor_config.json
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  • pytorch_model.bin
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  • train_results.json
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  • trainer_state.json
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  • training_args.bin
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