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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 / .ipynb_checkpoints
2.75 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mayank0621's picture
mayank0621
Training in progress, step 200
2dda8f8 verified almost 2 years ago
  • merges-checkpoint.txt
    525 kB
    Training in progress, step 200 almost 2 years ago
  • special_tokens_map-checkpoint.json
    460 Bytes
    Training in progress, step 5800 almost 2 years ago
  • tokenizer-checkpoint.json
    2.22 MB
    Training in progress, step 5800 almost 2 years ago