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

KabilanM
/
detr-label-detection

Image Feature Extraction
Transformers
PyTorch
detr
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use KabilanM/detr-label-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="KabilanM/detr-label-detection")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("KabilanM/detr-label-detection")
    model = AutoModel.from_pretrained("KabilanM/detr-label-detection")
  • Notebooks
  • Google Colab
  • Kaggle
detr-label-detection
166 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
KabilanM's picture
KabilanM
Upload processor
15f9fd6 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    3.39 kB
    Upload model over 2 years ago
  • preprocessor_config.json
    443 Bytes
    Upload processor over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    166 MB
    xet
    Upload model over 2 years ago