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gj5520
/
KoalaSeg

Image Segmentation
Transformers
Safetensors
oneformer
vision
universal-segmentation
korean-road
distillation
aihub
Model card Files Files and versions
xet
Community

Instructions to use gj5520/KoalaSeg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gj5520/KoalaSeg with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="gj5520/KoalaSeg")
    # Load model directly
    from transformers import AutoProcessor, OneFormerForUniversalSegmentation
    
    processor = AutoProcessor.from_pretrained("gj5520/KoalaSeg")
    model = OneFormerForUniversalSegmentation.from_pretrained("gj5520/KoalaSeg")
  • Notebooks
  • Google Colab
  • Kaggle
KoalaSeg
Ctrl+K
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  • 1 contributor
History: 13 commits
gj5520's picture
gj5520
Update README.md
2454881 verified about 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
    77.4 kB
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  • merges.txt
    525 kB
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  • model.safetensors
    879 MB
    xet
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  • overlay_ft_20250621_130747.png
    2.48 MB
    xet
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  • preprocessor_config.json
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  • processor_config.json
    95 Bytes
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  • special_tokens_map.json
    585 Bytes
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  • tokenizer.json
    3.64 MB
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  • tokenizer_config.json
    753 Bytes
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  • vocab.json
    862 kB
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