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

  • Log In
  • Sign Up

PekingU
/
rtdetr_v2_r101vd

Object Detection
Transformers
Safetensors
English
rt_detr_v2
vision
Model card Files Files and versions
xet
Community
1

Instructions to use PekingU/rtdetr_v2_r101vd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PekingU/rtdetr_v2_r101vd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="PekingU/rtdetr_v2_r101vd")
    # Load model directly
    from transformers import AutoTokenizer, RtDetrV2ForObjectDetection
    
    tokenizer = AutoTokenizer.from_pretrained("PekingU/rtdetr_v2_r101vd")
    model = RtDetrV2ForObjectDetection.from_pretrained("PekingU/rtdetr_v2_r101vd")
  • Notebooks
  • Google Colab
  • Kaggle
rtdetr_v2_r101vd
307 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
qubvel-hf's picture
qubvel-hf
Update README.md
2c5dbbd verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.54 kB
    Update README.md over 1 year ago
  • config.json
    5.34 kB
    Add model from convert_rt_detr_v2_original_pytorch_checkpoint_to_pytorch.py over 1 year ago
  • model.safetensors
    307 MB
    xet
    Add model from convert_rt_detr_v2_original_pytorch_checkpoint_to_pytorch.py over 1 year ago
  • preprocessor_config.json
    444 Bytes
    Add image processor from convert_rt_detr_v2_original_pytorch_checkpoint_to_pytorch.py over 1 year ago