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Thibaut
/
route_background_semantic

Image Segmentation
Transformers
TensorBoard
Safetensors
segformer
vision
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use Thibaut/route_background_semantic with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="Thibaut/route_background_semantic")
    # Load model directly
    from transformers import AutoImageProcessor, SegformerForSemanticSegmentation
    
    processor = AutoImageProcessor.from_pretrained("Thibaut/route_background_semantic")
    model = SegformerForSemanticSegmentation.from_pretrained("Thibaut/route_background_semantic")
  • Notebooks
  • Google Colab
  • Kaggle
route_background_semantic / runs
34.6 kB
Ctrl+K
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  • 1 contributor
History: 7 commits
Thibaut's picture
Thibaut
End of training
3ed150d verified about 1 year ago
  • Apr03_14-14-32_algo-1
    End of training about 1 year ago