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Subh775
/
Dis-Seg-Former

Image Segmentation
Transformers
TensorBoard
ONNX
English
ROI-extraction
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Subh775/Dis-Seg-Former with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Subh775/Dis-Seg-Former with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="Subh775/Dis-Seg-Former")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Subh775/Dis-Seg-Former", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Dis-Seg-Former / wandb
51.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Subh775's picture
Subh775
Files added - 11 files
caf1f25 verified about 1 month ago
  • run-20260523_101614-wvdbqmnv
    Files added - 11 files about 1 month ago
  • debug-internal.log
    1.14 kB
    Files added - 11 files about 1 month ago
  • debug.log
    2.29 kB
    Files added - 11 files about 1 month ago