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

cheesebird
/
detr

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

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

  • Libraries
  • Transformers

    How to use cheesebird/detr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="cheesebird/detr")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("cheesebird/detr")
    model = AutoModelForObjectDetection.from_pretrained("cheesebird/detr")
  • Notebooks
  • Google Colab
  • Kaggle
detr / runs
72.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
cheesebird's picture
cheesebird
End of training
9de7f9f verified about 2 years ago
  • Apr20_17-36-56_943adf06d3a8
    Training in progress, step 500 about 2 years ago
  • Apr20_17-39-38_943adf06d3a8
    Training in progress, step 500 about 2 years ago
  • Apr20_17-40-06_943adf06d3a8
    Training in progress, step 2500 about 2 years ago
  • Apr20_18-32-48_943adf06d3a8
    Training in progress, step 2500 about 2 years ago
  • Apr20_19-22-48_943adf06d3a8
    Training in progress, step 2500 about 2 years ago
  • Apr21_18-22-58_19eb2504eada
    End of training about 2 years ago