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surprisedPikachu007
/
tomato-disease-detection_V2

Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use surprisedPikachu007/tomato-disease-detection_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use surprisedPikachu007/tomato-disease-detection_V2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="surprisedPikachu007/tomato-disease-detection_V2")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("surprisedPikachu007/tomato-disease-detection_V2")
    model = AutoModelForImageClassification.from_pretrained("surprisedPikachu007/tomato-disease-detection_V2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tomato-disease-detection_V2 / runs
56.1 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
surprisedPikachu007's picture
surprisedPikachu007
End of training
1bb3e01 over 3 years ago
  • Mar09_09-35-50_pikachus-manjaro
    End of training over 3 years ago