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

aviola
/
detrDominoTest

Object Detection
Transformers
TensorBoard
Safetensors
conditional_detr
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use aviola/detrDominoTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aviola/detrDominoTest with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="aviola/detrDominoTest")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("aviola/detrDominoTest")
    model = AutoModelForObjectDetection.from_pretrained("aviola/detrDominoTest")
  • Notebooks
  • Google Colab
  • Kaggle
detrDominoTest / runs
700 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 299 commits
aviola's picture
aviola
End of training
ecb59a2 verified over 1 year ago
  • Sep10_17-52-31_838c5b42b0d8
    End of training over 1 year ago
  • Sep10_18-49-10_838c5b42b0d8
    End of training over 1 year ago