Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

microsoft
/
conditional-detr-resnet-50

Object Detection
Transformers
PyTorch
Safetensors
conditional_detr
vision
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use microsoft/conditional-detr-resnet-50 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="microsoft/conditional-detr-resnet-50")
    # Load model directly
    from transformers import AutoImageProcessor, ConditionalDETRForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("microsoft/conditional-detr-resnet-50")
    model = ConditionalDETRForObjectDetection.from_pretrained("microsoft/conditional-detr-resnet-50")
  • Notebooks
  • Google Colab
  • Kaggle
conditional-detr-resnet-50
Ctrl+K
Ctrl+K
  • 3 contributors
History: 8 commits
nielsr's picture
nielsr HF Staff
Update preprocessor_config.json
8f8795f verified about 2 years ago
  • .gitattributes
    1.44 kB
    Adding `safetensors` variant of this model (#2) about 2 years ago
  • README.md
    4.67 kB
    Update README.md over 3 years ago
  • config.json
    4.43 kB
    Add model over 3 years ago
  • model.safetensors
    174 MB
    xet
    Adding `safetensors` variant of this model (#2) about 2 years ago
  • preprocessor_config.json
    301 Bytes
    Update preprocessor_config.json about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    174 MB
    xet
    Add model over 3 years ago