Instructions to use Aryn/deformable-detr-DocLayNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aryn/deformable-detr-DocLayNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Aryn/deformable-detr-DocLayNet")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Aryn/deformable-detr-DocLayNet") model = AutoModelForObjectDetection.from_pretrained("Aryn/deformable-detr-DocLayNet") - Notebooks
- Google Colab
- Kaggle
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- src: https://huggingface.co/Aryn/deformable-detr-DocLayNet/resolve/main/examples/doclaynet_example_1.png
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example_title: DocLayNet Example 1
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# Deformable DETR model trained on DocLayNet
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widget:
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- src: https://huggingface.co/Aryn/deformable-detr-DocLayNet/resolve/main/examples/doclaynet_example_1.png
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example_title: DocLayNet Example 1
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- src: https://huggingface.co/Aryn/deformable-detr-DocLayNet/resolve/main/examples/doclaynet_example_2.png
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example_title: DocLayNet Example 2
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- src: https://huggingface.co/Aryn/deformable-detr-DocLayNet/resolve/main/examples/doclaynet_example_3.png
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example_title: DocLayNet Example 3
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# Deformable DETR model trained on DocLayNet
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