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NoahMacLean1
/
noahs_model

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

Instructions to use NoahMacLean1/noahs_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NoahMacLean1/noahs_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="NoahMacLean1/noahs_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("NoahMacLean1/noahs_model")
    model = AutoModelForImageClassification.from_pretrained("NoahMacLean1/noahs_model")
  • Notebooks
  • Google Colab
  • Kaggle
noahs_model
1.37 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
NoahMacLean1's picture
NoahMacLean1
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  • checkpoint-40
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  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • all_results.json
    204 Bytes
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  • config.json
    723 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
    204 Bytes
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  • trainer_state.json
    1.47 kB
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  • training_args.bin
    3.58 kB
    xet
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