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A2H0H0R1
/
mobilenet_v2_1.0_224-plant-disease-new

Image Classification
Transformers
TensorBoard
Safetensors
mobilenet_v2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use A2H0H0R1/mobilenet_v2_1.0_224-plant-disease-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use A2H0H0R1/mobilenet_v2_1.0_224-plant-disease-new with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="A2H0H0R1/mobilenet_v2_1.0_224-plant-disease-new")
    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("A2H0H0R1/mobilenet_v2_1.0_224-plant-disease-new")
    model = AutoModelForImageClassification.from_pretrained("A2H0H0R1/mobilenet_v2_1.0_224-plant-disease-new", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mobilenet_v2_1.0_224-plant-disease-new
9.35 MB
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  • 1 contributor
History: 10 commits
A2H0H0R1's picture
A2H0H0R1
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  • all_results.json
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  • config.json
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  • model.safetensors
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  • preprocessor_config.json
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  • train_results.json
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  • trainer_state.json
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  • training_args.bin
    4.6 kB
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