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tue-mps
/
eomt-dinov3-coco-instance-large-640

Image Segmentation
Transformers
Safetensors
PyTorch
eomt_dinov3
vision
instance-segmentation
Model card Files Files and versions
xet
Community

Instructions to use tue-mps/eomt-dinov3-coco-instance-large-640 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tue-mps/eomt-dinov3-coco-instance-large-640 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="tue-mps/eomt-dinov3-coco-instance-large-640")
    # Load model directly
    from transformers import EomtDinov3ForUniversalSegmentation
    model = EomtDinov3ForUniversalSegmentation.from_pretrained("tue-mps/eomt-dinov3-coco-instance-large-640", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
eomt-dinov3-coco-instance-large-640
1.26 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
nielsr's picture
nielsr HF Staff
Add rope_parameters to config
194260c verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    3.12 kB
    Upload README.md with huggingface_hub 5 months ago
  • config.json
    4.28 kB
    Add rope_parameters to config 4 months ago
  • model.safetensors
    1.26 GB
    xet
    Upload EomtDinov3ForUniversalSegmentation 5 months ago
  • preprocessor_config.json
    436 Bytes
    Upload processor 5 months ago