Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

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

  • Libraries
  • Transformers

    How to use dokutoshi/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="dokutoshi/owlvit-base-patch32_FT_cppe5")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection
    
    processor = AutoProcessor.from_pretrained("dokutoshi/owlvit-base-patch32_FT_cppe5")
    model = AutoModelForZeroShotObjectDetection.from_pretrained("dokutoshi/owlvit-base-patch32_FT_cppe5")
  • Notebooks
  • Google Colab
  • Kaggle
owlvit-base-patch32_FT_cppe5
1.52 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
dokutoshi's picture
dokutoshi
initial commit
6f9946a verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago