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restor
/
tcd-segformer-mit-b3

Image Segmentation
Transformers
TensorBoard
Safetensors
segformer
semantic-segmentation
vision
ecology
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use restor/tcd-segformer-mit-b3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use restor/tcd-segformer-mit-b3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="restor/tcd-segformer-mit-b3")
    # Load model directly
    from transformers import AutoImageProcessor, SegformerForSemanticSegmentation
    
    processor = AutoImageProcessor.from_pretrained("restor/tcd-segformer-mit-b3")
    model = SegformerForSemanticSegmentation.from_pretrained("restor/tcd-segformer-mit-b3")
  • Notebooks
  • Google Colab
  • Kaggle
tcd-segformer-mit-b3 / samples
4.49 MB
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  • 1 contributor
History: 1 commit
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joshvm
add test samples
6140e2a verified about 2 years ago
  • 5d970af00a75b7000670395f_10_00091.tif
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    add test samples about 2 years ago
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  • 610160855a90f10006fd303e_10_00418.tif
    1.93 MB
    xet
    add test samples about 2 years ago