Instructions to use microsoft/table-transformer-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/table-transformer-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="microsoft/table-transformer-detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("microsoft/table-transformer-detection") model = AutoModelForObjectDetection.from_pretrained("microsoft/table-transformer-detection") - Notebooks
- Google Colab
- Kaggle
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license: mit
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# Table Transformer (fine-tuned for Table Detection)
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license: mit
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widget:
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- src: https://www.invoicesimple.com/wp-content/uploads/2018/06/Sample-Invoice-printable.png
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example_title: Invoice
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# Table Transformer (fine-tuned for Table Detection)
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