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PLAN-Lab
/
CALICO

Image Segmentation
Transformers
Safetensors
English
calico
text-generation
computer-vision
semantic-segmentation
co-segmentation
part-segmentation
multi-image-reasoning
vision-language
Model card Files Files and versions
xet
Community

Instructions to use PLAN-Lab/CALICO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PLAN-Lab/CALICO with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="PLAN-Lab/CALICO")
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("PLAN-Lab/CALICO", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CALICO
17 GB
Ctrl+K
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  • 2 contributors
History: 3 commits
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isminoula
Update README.md
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  • config.json
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  • model-00001-of-00004.safetensors
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  • model-00004-of-00004.safetensors
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  • model.safetensors.index.json
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  • tokenizer.model
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