Instructions to use PekingU/rtdetr_r50vd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PekingU/rtdetr_r50vd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="PekingU/rtdetr_r50vd")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("PekingU/rtdetr_r50vd") model = AutoModelForObjectDetection.from_pretrained("PekingU/rtdetr_r50vd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **HF Docs:** [RT-DETR](https://huggingface.co/docs/transformers/main/en/model_doc/rt_detr)
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- **Repository:** https://github.com/lyuwenyu/RT-DETR
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- **Paper:** https://arxiv.org/abs/2304.08069
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### Model Sources
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- **HF Docs:** [RT-DETR](https://huggingface.co/docs/transformers/main/en/model_doc/rt_detr)
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- **Repository:** https://github.com/lyuwenyu/RT-DETR
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- **Paper:** https://arxiv.org/abs/2304.08069
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