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UWGZQ
/
ConCor-1

Image Segmentation
Transformers
Safetensors
concor1
feature-extraction
vision-language-grounding
concept-correspondence
referring-expression-segmentation
phrase-grounding
open-vocabulary-segmentation
custom_code
Model card Files Files and versions
xet
Community

Instructions to use UWGZQ/ConCor-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UWGZQ/ConCor-1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="UWGZQ/ConCor-1", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("UWGZQ/ConCor-1", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ConCor-1 / examples
589 kB
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  • 1 contributor
History: 1 commit
UWGZQ's picture
UWGZQ
Add the demo's example images (real validation samples)
b762273 verified 8 days ago
  • baseball.jpg
    186 kB
    xet
    Add the demo's example images (real validation samples) 8 days ago
  • bear.jpg
    194 kB
    xet
    Add the demo's example images (real validation samples) 8 days ago
  • plants_women.jpg
    133 kB
    xet
    Add the demo's example images (real validation samples) 8 days ago
  • skier.jpg
    76.7 kB
    Add the demo's example images (real validation samples) 8 days ago