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Cheaple
/
my-detr

Object Detection
Transformers
PyTorch
conditional_detr
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Cheaple/my-detr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="Cheaple/my-detr")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("Cheaple/my-detr")
    model = AutoModelForObjectDetection.from_pretrained("Cheaple/my-detr")
  • Notebooks
  • Google Colab
  • Kaggle
my-detr
174 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 214 commits
Cheaple's picture
Cheaple
Conditional DETR classifier version2 -- training in progress, epoch 16
65b9c1f over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    21 Bytes
    initial commit over 2 years ago
  • config.json
    1.28 kB
    Conditional DETR classifier version2 -- training in progress, epoch 0 over 2 years ago
  • preprocessor_config.json
    453 Bytes
    Upload processor over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    174 MB
    xet
    Conditional DETR classifier version2 -- training in progress, epoch 16 over 2 years ago