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varcoder
/
Augmented-MIT-b5

Transformers
PyTorch
TensorBoard
segformer
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use varcoder/Augmented-MIT-b5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use varcoder/Augmented-MIT-b5 with Transformers:

    # Load model directly
    from transformers import AutoImageProcessor, SegformerForSemanticSegmentation
    
    processor = AutoImageProcessor.from_pretrained("varcoder/Augmented-MIT-b5")
    model = SegformerForSemanticSegmentation.from_pretrained("varcoder/Augmented-MIT-b5")
  • Notebooks
  • Google Colab
  • Kaggle
Augmented-MIT-b5 / runs
1.17 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
varcoder's picture
varcoder
End of training
d931923 almost 3 years ago
  • Aug18_18-46-34_ad74472f80d1
    End of training almost 3 years ago