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SummerChiam
/
pond_image_classification_7

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

Instructions to use SummerChiam/pond_image_classification_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SummerChiam/pond_image_classification_7 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="SummerChiam/pond_image_classification_7")
    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("SummerChiam/pond_image_classification_7")
    model = AutoModelForImageClassification.from_pretrained("SummerChiam/pond_image_classification_7")
  • Notebooks
  • Google Colab
  • Kaggle
pond_image_classification_7 / images
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  • 1 contributor
History: 1 commit
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SummerChiam
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