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SupremoUGH
/
image-classification-model

Image Classification
Transformers
Safetensors
English
vit
vision
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use SupremoUGH/image-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SupremoUGH/image-classification-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="SupremoUGH/image-classification-model")
    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("SupremoUGH/image-classification-model")
    model = AutoModelForImageClassification.from_pretrained("SupremoUGH/image-classification-model")
  • Notebooks
  • Google Colab
  • Kaggle
image-classification-model / tests
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  • 1 contributor
History: 1 commit
SupremoUGH's picture
SupremoUGH
first commit
ab8b628 unverified over 1 year ago
  • data
    first commit over 1 year ago
  • __init__.py
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    first commit over 1 year ago
  • test_prediction.py
    546 Bytes
    first commit over 1 year ago