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

Jarven
/
Candy_detector

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

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

  • Libraries
  • Transformers

    How to use Jarven/Candy_detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="Jarven/Candy_detector")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("Jarven/Candy_detector")
    model = AutoModelForObjectDetection.from_pretrained("Jarven/Candy_detector")
  • Notebooks
  • Google Colab
  • Kaggle
Candy_detector / runs
12.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Jarven's picture
Jarven
Training in progress, step 600
16afdb1 over 2 years ago
  • Nov14_15-11-01_9dcb92b4ecfc
    End of training over 2 years ago
  • Nov14_17-18-39_28f46ae27d54
    Training in progress, step 600 over 2 years ago