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Dnq2025
/
MicroStructFormer

Image Segmentation
Transformers
Safetensors
English
mask2former
Electron-Microscopy
Ultrastructure-Segmentation
Semantic-Segmentation
Model card Files Files and versions
xet
Community

Instructions to use Dnq2025/MicroStructFormer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dnq2025/MicroStructFormer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="Dnq2025/MicroStructFormer")
    # Load model directly
    from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation
    
    processor = AutoImageProcessor.from_pretrained("Dnq2025/MicroStructFormer")
    model = Mask2FormerForUniversalSegmentation.from_pretrained("Dnq2025/MicroStructFormer")
  • Notebooks
  • Google Colab
  • Kaggle
MicroStructFormer
897 MB
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  • 1 contributor
History: 30 commits
Dnq2025's picture
Dnq2025
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  • README.md
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  • config.json
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  • model.safetensors
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    xet
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  • preprocessor_config.json
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