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tue-mps
/
coco_instance_eomt_large_1280

Image Segmentation
Transformers
PyTorch
Safetensors
eomt
vision
Model card Files Files and versions
xet
Community
2

Instructions to use tue-mps/coco_instance_eomt_large_1280 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tue-mps/coco_instance_eomt_large_1280 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="tue-mps/coco_instance_eomt_large_1280")
    # Load model directly
    from transformers import AutoImageProcessor, EomtForUniversalSegmentation
    
    processor = AutoImageProcessor.from_pretrained("tue-mps/coco_instance_eomt_large_1280")
    model = EomtForUniversalSegmentation.from_pretrained("tue-mps/coco_instance_eomt_large_1280")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#2 opened about 1 year ago by
SFconvertbot

Improve model card: add library, correct pipeline tag, link to project page

#1 opened about 1 year ago by
nielsr
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