Instructions to use microsoft/conditional-detr-resnet-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/conditional-detr-resnet-50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="microsoft/conditional-detr-resnet-50")# Load model directly from transformers import AutoImageProcessor, ConditionalDETRForObjectDetection processor = AutoImageProcessor.from_pretrained("microsoft/conditional-detr-resnet-50") model = ConditionalDETRForObjectDetection.from_pretrained("microsoft/conditional-detr-resnet-50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update preprocessor_config.json
Browse files- preprocessor_config.json +1 -1
preprocessor_config.json
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{
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"do_normalize": true,
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"do_resize": true,
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"
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"format": "coco_detection",
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"image_mean": [
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0.485,
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{
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"do_normalize": true,
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"do_resize": true,
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"image_processor_type": "ConditionalDetrImageProcessor",
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"format": "coco_detection",
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"image_mean": [
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0.485,
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