Instructions to use PekingU/rtdetr_r50vd_coco_o365 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PekingU/rtdetr_r50vd_coco_o365 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="PekingU/rtdetr_r50vd_coco_o365")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("PekingU/rtdetr_r50vd_coco_o365") model = AutoModelForObjectDetection.from_pretrained("PekingU/rtdetr_r50vd_coco_o365", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update freezing
Browse filesFreezing disabled by default :
https://github.com/huggingface/transformers/issues/32604
- config.json +1 -0
config.json
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},
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"backbone_kwargs": null,
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"batch_norm_eps": 1e-05,
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"box_noise_scale": 1.0,
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"freeze_backbone_batch_norms": false,
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"backbone_kwargs": null,
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"batch_norm_eps": 1e-05,
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"box_noise_scale": 1.0,
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