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wisamWR
/
Tomato_Leaf_Diseases-CNN_Comparative_Analysis

Image Classification
Keras
ONNX
Indonesian
tensorflow
efficientnetv2
plant-disease
agriculture
Model card Files Files and versions
xet
Community

Instructions to use wisamWR/Tomato_Leaf_Diseases-CNN_Comparative_Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use wisamWR/Tomato_Leaf_Diseases-CNN_Comparative_Analysis with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://wisamWR/Tomato_Leaf_Diseases-CNN_Comparative_Analysis")
    
  • Notebooks
  • Google Colab
  • Kaggle
Tomato_Leaf_Diseases-CNN_Comparative_Analysis
2.18 GB
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  • 1 contributor
History: 3 commits
wisamWR's picture
wisamWR
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  • EfficientNetV2B0.onnx
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  • app.py
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  • requirements.txt
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  • tomato-leaf-diseases-cnn-comparative-analysis.ipynb
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