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HurudzaAI
/
plantdiseasedetection1

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

Instructions to use HurudzaAI/plantdiseasedetection1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HurudzaAI/plantdiseasedetection1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="HurudzaAI/plantdiseasedetection1")
    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("HurudzaAI/plantdiseasedetection1")
    model = AutoModelForImageClassification.from_pretrained("HurudzaAI/plantdiseasedetection1")
  • Notebooks
  • Google Colab
  • Kaggle
plantdiseasedetection1
22.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
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chandiwanablessing
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  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    7.04 kB
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  • config.json
    1.43 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
    325 Bytes
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