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fxmarty
/
owlvit-tiny-non-contiguous-weight

Zero-Shot Object Detection
Transformers
PyTorch
owlvit
Model card Files Files and versions
xet
Community
1

Instructions to use fxmarty/owlvit-tiny-non-contiguous-weight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fxmarty/owlvit-tiny-non-contiguous-weight with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-object-detection", model="fxmarty/owlvit-tiny-non-contiguous-weight")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection
    
    processor = AutoProcessor.from_pretrained("fxmarty/owlvit-tiny-non-contiguous-weight")
    model = AutoModelForZeroShotObjectDetection.from_pretrained("fxmarty/owlvit-tiny-non-contiguous-weight", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
owlvit-tiny-non-contiguous-weight
1.63 MB
Ctrl+K
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  • 2 contributors
History: 2 commits
Félix Marty
add model
0c17cce over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    143 Bytes
    add model over 2 years ago
  • config.json
    862 Bytes
    add model over 2 years ago
  • pytorch_model.bin
    1.63 MB
    xet
    add model over 2 years ago