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MDZN
/
fruit-classifier

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

Instructions to use MDZN/fruit-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MDZN/fruit-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="MDZN/fruit-classifier")
    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("MDZN/fruit-classifier")
    model = AutoModelForImageClassification.from_pretrained("MDZN/fruit-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
fruit-classifier / runs
1.49 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
MDZN's picture
MDZN
commit files to HF hub
47229d1 almost 2 years ago
  • events.out.tfevents.1719650773.f9ca950f9e19.619.0
    1.49 kB
    xet
    commit files to HF hub almost 2 years ago