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Omnifact
/
conditional-detr-resnet-101-dc5

Object Detection
Transformers
PyTorch
Safetensors
conditional_detr
vision
Model card Files Files and versions
xet
Community
2

Instructions to use Omnifact/conditional-detr-resnet-101-dc5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Omnifact/conditional-detr-resnet-101-dc5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="Omnifact/conditional-detr-resnet-101-dc5")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("Omnifact/conditional-detr-resnet-101-dc5")
    model = AutoModelForObjectDetection.from_pretrained("Omnifact/conditional-detr-resnet-101-dc5")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

[Clean-up] Planned removal of the `max_size` argument

#2 opened over 1 year ago by
HichTala

Inquiry Regarding Training Epochs for this Model

#1 opened over 1 year ago by
hchcsuim
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