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cabrel09
/
crop_leaf_disease_detector

Image Classification
Transformers
ONNX
Safetensors
vit
vision transformer
agriculture
plant disease detection
smart farming
image classification
Model card Files Files and versions
xet
Community

Instructions to use cabrel09/crop_leaf_disease_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cabrel09/crop_leaf_disease_detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="cabrel09/crop_leaf_disease_detector")
    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("cabrel09/crop_leaf_disease_detector")
    model = AutoModelForImageClassification.from_pretrained("cabrel09/crop_leaf_disease_detector")
  • Notebooks
  • Google Colab
  • Kaggle
crop_leaf_disease_detector
44.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
cabrel09's picture
cabrel09
Mise à jour : ajout du modèle en ONNX
d2923bd 8 months ago
  • onnx
    Mise à jour : ajout du modèle en ONNX 8 months ago
  • .gitattributes
    1.55 kB
    Upload folder using huggingface_hub 9 months ago
  • README.md
    8.45 kB
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  • config.json
    1.48 kB
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  • disease_classification_metrics.png
    95 kB
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  • model.safetensors
    22.1 MB
    xet
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  • preprocessor_config.json
    347 Bytes
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