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Soulaimen
/
swin-tiny-patch4-window7-224-bottom_cleaned_data-hpt

Image Classification
Transformers
PyTorch
TensorBoard
swin
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Soulaimen/swin-tiny-patch4-window7-224-bottom_cleaned_data-hpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Soulaimen/swin-tiny-patch4-window7-224-bottom_cleaned_data-hpt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Soulaimen/swin-tiny-patch4-window7-224-bottom_cleaned_data-hpt")
    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("Soulaimen/swin-tiny-patch4-window7-224-bottom_cleaned_data-hpt")
    model = AutoModelForImageClassification.from_pretrained("Soulaimen/swin-tiny-patch4-window7-224-bottom_cleaned_data-hpt")
  • Notebooks
  • Google Colab
  • Kaggle
swin-tiny-patch4-window7-224-bottom_cleaned_data-hpt / runs
29.6 kB
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  • 1 contributor
History: 11 commits
Soulaimen's picture
Soulaimen
Model save
16aa1dd about 3 years ago
  • Apr17_13-44-39_5910a653ef0c
    Model save about 3 years ago