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mayank0621
/
owlvit-base-patch32_FT_cppe5

Zero-Shot Object Detection
Transformers
TensorBoard
Safetensors
owlvit
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use mayank0621/owlvit-base-patch32_FT_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mayank0621/owlvit-base-patch32_FT_cppe5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-object-detection", model="mayank0621/owlvit-base-patch32_FT_cppe5")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection
    
    processor = AutoProcessor.from_pretrained("mayank0621/owlvit-base-patch32_FT_cppe5")
    model = AutoModelForZeroShotObjectDetection.from_pretrained("mayank0621/owlvit-base-patch32_FT_cppe5")
  • Notebooks
  • Google Colab
  • Kaggle
owlvit-base-patch32_FT_cppe5 / runs /Jun18_16-04-24_AHMCPU2839
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  • 1 contributor
History: 1 commit
mayank0621's picture
mayank0621
Training in progress, step 200
a75f050 verified almost 2 years ago
  • events.out.tfevents.1718706864.AHMCPU2839.337268.9
    5.03 kB
    xet
    Training in progress, step 200 almost 2 years ago