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ombhojane
/
healthyPlantsModel

Image Classification
Transformers
PyTorch
TensorBoard
mobilenet_v2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use ombhojane/healthyPlantsModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ombhojane/healthyPlantsModel")
    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("ombhojane/healthyPlantsModel")
    model = AutoModelForImageClassification.from_pretrained("ombhojane/healthyPlantsModel", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
healthyPlantsModel
9.54 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
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Librarian Bot: Add base_model information to model
8a5b8b2 over 2 years ago
  • runs
    Base model almost 3 years ago
  • .gitattributes
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  • .gitignore
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  • README.md
    1.86 kB
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  • all_results.json
    389 Bytes
    Base model almost 3 years ago
  • config.json
    3.57 kB
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  • eval_results.json
    202 Bytes
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  • preprocessor_config.json
    408 Bytes
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  • pytorch_model.bin
    9.34 MB
    xet
    Base model almost 3 years ago
  • train_results.json
    207 Bytes
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  • trainer_state.json
    16.8 kB
    Base model almost 3 years ago
  • training_args.bin
    3.64 kB
    xet
    Base model almost 3 years ago