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boopathiraj
/
MODNet

Image Segmentation
Transformers
PyTorch
modnet
feature-extraction
image-matting
background-removal
computer-vision
custom-architecture
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use boopathiraj/MODNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use boopathiraj/MODNet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="boopathiraj/MODNet", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("boopathiraj/MODNet", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MODNet / modnet
84.2 MB
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  • 1 contributor
History: 2 commits
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  • src
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  • .gitignore
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  • LICENSE
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  • README.md
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  • __init__.py
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  • matte.zip

    Pickle imports

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  • modnet.py
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