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mcmonkey
/
clipseg-rd64-refined-fp16

Image Segmentation
Transformers
Safetensors
clipseg
vision
Model card Files Files and versions
xet
Community

Instructions to use mcmonkey/clipseg-rd64-refined-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mcmonkey/clipseg-rd64-refined-fp16 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="mcmonkey/clipseg-rd64-refined-fp16")
    # Load model directly
    from transformers import AutoProcessor, CLIPSegForImageSegmentation
    
    processor = AutoProcessor.from_pretrained("mcmonkey/clipseg-rd64-refined-fp16")
    model = CLIPSegForImageSegmentation.from_pretrained("mcmonkey/clipseg-rd64-refined-fp16")
  • Notebooks
  • Google Colab
  • Kaggle
clipseg-rd64-refined-fp16
1.52 kB
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  • 1 contributor
History: 1 commit
mcmonkey's picture
mcmonkey
initial commit
e89be40 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago