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OwlMaster
/
FixRM

Image Segmentation
Transformers
PyTorch
ONNX
Safetensors
SegformerForSemanticSegmentation
remove background
background
background-removal
Pytorch
vision
legal liability
custom_code
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use OwlMaster/FixRM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="OwlMaster/FixRM", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForImageSegmentation
    model = AutoModelForImageSegmentation.from_pretrained("OwlMaster/FixRM", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
FixRM / onnx
309 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
OwlMaster's picture
OwlMaster
e98ba89b451f28cb43d51405bead219aaa7e09e2155c84ad9e1e39dcff0b3115
1169513 verified almost 2 years ago
  • model.onnx
    176 MB
    xet
    e98ba89b451f28cb43d51405bead219aaa7e09e2155c84ad9e1e39dcff0b3115 almost 2 years ago
  • model_fp16.onnx
    88.2 MB
    xet
    e98ba89b451f28cb43d51405bead219aaa7e09e2155c84ad9e1e39dcff0b3115 almost 2 years ago
  • model_quantized.onnx
    44.4 MB
    xet
    e98ba89b451f28cb43d51405bead219aaa7e09e2155c84ad9e1e39dcff0b3115 almost 2 years ago
  • quantize_config.json
    550 Bytes
    e98ba89b451f28cb43d51405bead219aaa7e09e2155c84ad9e1e39dcff0b3115 almost 2 years ago