Instructions to use stevenbucaille/lwdetr_tiny_60e_coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stevenbucaille/lwdetr_tiny_60e_coco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="stevenbucaille/lwdetr_tiny_60e_coco")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("stevenbucaille/lwdetr_tiny_60e_coco") model = AutoModelForObjectDetection.from_pretrained("stevenbucaille/lwdetr_tiny_60e_coco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add lwdetr_tiny_60e_coco image processor
Browse files- preprocessor_config.json +1 -1
preprocessor_config.json
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@@ -10,7 +10,7 @@
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0.456,
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0.406
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],
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"image_processor_type": "
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"image_std": [
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0.229,
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0.224,
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0.456,
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0.406
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],
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"image_processor_type": "DeformableDetrImageProcessor",
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"image_std": [
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0.229,
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0.224,
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