Instructions to use cmarkea/detr-layout-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cmarkea/detr-layout-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="cmarkea/detr-layout-detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageSegmentation processor = AutoImageProcessor.from_pretrained("cmarkea/detr-layout-detection") model = AutoModelForImageSegmentation.from_pretrained("cmarkea/detr-layout-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- ds4sd/DocLayNet
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library_name: transformers
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license: apache-2.0
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pipeline_tag:
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# DETR-layout-detection
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- ds4sd/DocLayNet
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library_name: transformers
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license: apache-2.0
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pipeline_tag: object-detection
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# DETR-layout-detection
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