Instructions to use PekingU/rtdetr_r18vd_coco_o365 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PekingU/rtdetr_r18vd_coco_o365 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="PekingU/rtdetr_r18vd_coco_o365")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("PekingU/rtdetr_r18vd_coco_o365") model = AutoModelForObjectDetection.from_pretrained("PekingU/rtdetr_r18vd_coco_o365", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add model from convert_rt_detr_original_pytorch_checkpoint_to_pytorch.py
Browse files- model.safetensors +2 -2
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