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restor
/
tcd-segformer-mit-b1

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-b1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use restor/tcd-segformer-mit-b1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="restor/tcd-segformer-mit-b1")
    # Load model directly
    from transformers import AutoImageProcessor, SegformerForSemanticSegmentation
    
    processor = AutoImageProcessor.from_pretrained("restor/tcd-segformer-mit-b1")
    model = SegformerForSemanticSegmentation.from_pretrained("restor/tcd-segformer-mit-b1")
  • Notebooks
  • Google Colab
  • Kaggle
tcd-segformer-mit-b1
782 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
joshvm's picture
joshvm
update readme + plots
5ea03ff verified almost 2 years ago
  • logs
    Upload logs/events.out.tfevents.1715213867.1693147.0 with huggingface_hub about 2 years ago
  • .gitattributes
    1.52 kB
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  • README.md
    11.2 kB
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  • config.json
    1.08 kB
    Upload SegformerForSemanticSegmentation about 2 years ago
  • model.safetensors
    54.7 MB
    xet
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  • preprocessor_config.json
    675 Bytes
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  • train_loss.png
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  • val_jaccard_index.png
    52.6 kB
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  • val_loss.png
    48.2 kB
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  • val_multiclassaccuracy_tree.png
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  • val_multiclassf1score_tree.png
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