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  license: mit
 
 
 
 
 
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  license: mit
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+ datasets:
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+ - bsmock/FinTabNet.c
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+ tags:
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+ - table structure recognition
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+ - table extraction
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  ---
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+ # Model Card for TATR-v1.1-Fin
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+ This repo contains the model weights for TATR (Table Transformer) v1.1 trained on the FinTabNet.c dataset, using the training details in the paper: ["Aligning benchmark datasets for table structure recognition"](https://arxiv.org/abs/2303.00716).
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+ These model weights are intended to be used with [the Microsoft implementation of Table Transformer (TATR)](https://github.com/microsoft/table-transformer).
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+ This model works best on tightly cropped table images (5 pixels or less).
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+ Model weights that can be loaded into the Hugging Face implementation of TATR are coming soon.
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+ ## Model Details
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+ ### Model Description
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+ - **Developed by:** Brandon Smock and Rohith Pesala, while at Microsoft
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+ - **License:** MIT
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+ - **Finetuned from model:** DETR ResNet-18
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+ ### Model Sources
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+ Please see the following for more details:
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+ - **Repository:** ["https://github.com/microsoft/table-transformer"](https://github.com/microsoft/table-transformer)
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+ - **Paper:** ["Aligning benchmark datasets for table structure recognition"](https://arxiv.org/abs/2303.00716)