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LibreYOLO
/
LibrePEt16-cls

Zero-Shot Image Classification
PerceptionEncoder
libreyolo
image-feature-extraction
clip
Model card Files Files and versions
xet
Community

Instructions to use LibreYOLO/LibrePEt16-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PerceptionEncoder

    How to use LibreYOLO/LibrePEt16-cls with PerceptionEncoder:

    # Use any PE model as a vision encoder
    import core.vision_encoder.pe as pe
    
    model = pe.VisionTransformer.from_config("LibreYOLO/LibrePEt16-cls", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
LibrePEt16-cls
278 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Xuban's picture
Xuban
Add LibrePEt16-cls (converted PE Core, Apache-2.0)
09f0429 verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • LICENSE
    11.6 kB
    Add LibrePEt16-cls (converted PE Core, Apache-2.0) 2 days ago
  • LibrePEt16-cls.pt
    278 MB
    xet
    Add LibrePEt16-cls (converted PE Core, Apache-2.0) 2 days ago
  • NOTICE
    1.79 kB
    Add LibrePEt16-cls (converted PE Core, Apache-2.0) 2 days ago
  • README.md
    2.58 kB
    Add LibrePEt16-cls (converted PE Core, Apache-2.0) 2 days ago