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BAAI
/
SegVol

Feature Extraction
Transformers
PyTorch
segvol
custom_code
Model card Files Files and versions
xet
Community
7

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

  • Libraries
  • Transformers

    How to use BAAI/SegVol with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="BAAI/SegVol", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("BAAI/SegVol", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

RuntimeError: shape '[-1, 2, 3]' is invalid on specific Single Slice (Depth=1) volumes

#7 opened 4 months ago by
Arvind69

Add model card metadata

#6 opened about 1 year ago by
nielsr

Adding `safetensors` variant of this model

#5 opened over 1 year ago by
SFconvertbot

repace nearest-exact by nearest

#4 opened about 2 years ago by
yuxindu
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