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
- Xet hash:
- be0f3c251b781faf9d38bb607415142f355615a3208c82e1d22eb439c5230f48
- Size of remote file:
- 80.9 MB
- SHA256:
- eadade7a507b87cabe5d6a75b935dbd9fc59b1b843f36f7e3b24eafc856c0774
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