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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
111 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
boopathiraj's picture
boopathiraj
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  • MODNet
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  • .gitattributes
    2 kB
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  • README.md
    2.08 kB
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  • config.json
    158 Bytes
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  • configuration_modnet.py
    295 Bytes
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  • modeling_modnet.py
    464 Bytes
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  • pytorch_model.bin
    26.3 MB
    xet
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