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corranm
/
square_run_second_vote

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use corranm/square_run_second_vote with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="corranm/square_run_second_vote")
    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("corranm/square_run_second_vote")
    model = AutoModelForImageClassification.from_pretrained("corranm/square_run_second_vote")
  • Notebooks
  • Google Colab
  • Kaggle
square_run_second_vote
344 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
corranm's picture
corranm
End of training
ea94f0e verified over 1 year ago
  • runs
    End of training over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    8.06 kB
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  • all_results.json
    800 Bytes
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  • config.json
    845 Bytes
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  • eval_results.json
    612 Bytes
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  • model.safetensors
    343 MB
    xet
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  • preprocessor_config.json
    355 Bytes
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  • train_results.json
    209 Bytes
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  • trainer_state.json
    171 kB
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  • training_args.bin
    5.37 kB
    xet
    End of training over 1 year ago