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", device_map="auto")# 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 -2
preprocessor_config.json
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0.224,
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],
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"
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"size": 800
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}
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0.224,
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"size": {"shortest_edge": 800, "longest_edge": 1333}
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}
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