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ILT37
/
Image-classification

Image Classification
Transformers
Safetensors
vit
Model card Files Files and versions
xet
Community

Instructions to use ILT37/Image-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ILT37/Image-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ILT37/Image-classification")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("ILT37/Image-classification")
    model = AutoModelForImageClassification.from_pretrained("ILT37/Image-classification", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Image-classification
1.03 GB
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  • 1 contributor
History: 5 commits
ILT37's picture
ILT37
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9ac98af verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    62 Bytes
    README.md over 2 years ago
  • config.json
    7.46 kB
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  • model.safetensors
    344 MB
    xet
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  • optimizer.pt
    687 MB
    xet
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  • preprocessor_config.json
    347 Bytes
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  • rng_state.pth
    14 kB
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  • scheduler.pt
    1.06 kB
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  • trainer_state.json
    16.3 kB
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  • training_args.bin
    4.73 kB
    xet
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