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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

senthilsk
/
detr-resnet-50_finetuned_cppe5

Object Detection
Transformers
PyTorch
TensorBoard
detr
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use senthilsk/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use senthilsk/detr-resnet-50_finetuned_cppe5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="senthilsk/detr-resnet-50_finetuned_cppe5")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("senthilsk/detr-resnet-50_finetuned_cppe5")
    model = AutoModelForObjectDetection.from_pretrained("senthilsk/detr-resnet-50_finetuned_cppe5", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
detr-resnet-50_finetuned_cppe5 / runs
9.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
senthilsk's picture
senthilsk
Training in progress, step 400
5f20f6f over 2 years ago
  • Jan01_07-22-43_065e9840176b
    Training in progress, step 400 over 2 years ago