Instructions to use microsoft/table-transformer-structure-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/table-transformer-structure-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="microsoft/table-transformer-structure-recognition")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("microsoft/table-transformer-structure-recognition") model = AutoModelForObjectDetection.from_pretrained("microsoft/table-transformer-structure-recognition") - Notebooks
- Google Colab
- Kaggle
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license: mit
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# Table Transformer (fine-tuned for Table Structure Recognition)
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license: mit
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- src: https://user-images.githubusercontent.com/10793386/139559159-cd23c972-8731-48ed-91df-f3f27e9f4d79.jpg
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example_title: Table
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# Table Transformer (fine-tuned for Table Structure Recognition)
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