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license: mit
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---
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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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# 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)
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