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moock
/
swinv2-tiny-patch4-window8-256-finetuned-gardner-exp-max

Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use moock/swinv2-tiny-patch4-window8-256-finetuned-gardner-exp-max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use moock/swinv2-tiny-patch4-window8-256-finetuned-gardner-exp-max with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="moock/swinv2-tiny-patch4-window8-256-finetuned-gardner-exp-max")
    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("moock/swinv2-tiny-patch4-window8-256-finetuned-gardner-exp-max")
    model = AutoModelForImageClassification.from_pretrained("moock/swinv2-tiny-patch4-window8-256-finetuned-gardner-exp-max")
  • Notebooks
  • Google Colab
  • Kaggle
swinv2-tiny-patch4-window8-256-finetuned-gardner-exp-max / runs
109 kB
Ctrl+K
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  • 1 contributor
History: 4 commits
moock's picture
moock
End of training
05a07a9 over 2 years ago
  • Dec26_19-25-49_MacBook-Pro-de-Max-2.local
    End of training over 2 years ago
  • Dec27_20-34-04_MacBook-Pro-de-Max-2.local
    End of training over 2 years ago
  • Dec27_20-56-20_MacBook-Pro-de-Max-2.local
    End of training over 2 years ago
  • Dec27_21-09-51_MacBook-Pro-de-Max-2.local
    End of training over 2 years ago
  • Dec28_00-27-59_MacBook-Pro-de-Max-2.local
    End of training over 2 years ago
  • Dec28_00-31-35_MacBook-Pro-de-Max-2.local
    End of training over 2 years ago
  • Dec28_00-52-56_MacBook-Pro-de-Max-2.local
    End of training over 2 years ago