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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# Deformable DETR model trained on DocLayNet
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Deformable DEtection TRansformer (DETR), trained on DocLayNet (including 80k annotated pages in 11 classes).
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## Model description
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# Deformable DETR model trained on DocLayNet
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Deformable DEtection TRansformer (DETR), trained on DocLayNet (including 80k annotated pages in 11 classes).
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You can use this model in the serverless [Aryn Partitioning Service](https://sycamore.readthedocs.io/en/stable/aryn_cloud/aryn_partitioning_service.html). You can get started [here](https://www.aryn.ai/get-started)
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## Model description
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