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Hilbs
/
Packaging-Model

Image Classification
Transformers
PyTorch
English
vit
Model card Files Files and versions
xet
Community
2

Instructions to use Hilbs/Packaging-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hilbs/Packaging-Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Hilbs/Packaging-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("Hilbs/Packaging-Model")
    model = AutoModelForImageClassification.from_pretrained("Hilbs/Packaging-Model")
  • Notebooks
  • Google Colab
  • Kaggle
Packaging-Model
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Hilbs's picture
Hilbs
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  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    50 Bytes
    Create README.md almost 3 years ago
  • all_results.json
    207 Bytes
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  • config.json
    769 Bytes
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  • preprocessor_config.json
    327 Bytes
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  • pytorch_model.bin
    343 MB
    xet
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  • train_results.json
    207 Bytes
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  • trainer_state.json
    925 Bytes
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  • training_args.bin
    3.9 kB
    xet
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