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Use HF papers (#38184)

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* Use hf papers

* Hugging Face papers

* doi to hf papers

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Quentin Gallouédec
2025-06-13 13:07:09 +02:00
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docs/source/en/model_doc/table-transformer.md
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## Overview
The Table Transformer model was proposed in [PubTables-1M: Towards comprehensive table extraction from unstructured documents](https://arxiv.org/abs/2110.00061) by
The Table Transformer model was proposed in [PubTables-1M: Towards comprehensive table extraction from unstructured documents](https://huggingface.co/papers/2110.00061) by
Brandon Smock, Rohith Pesala, Robin Abraham. The authors introduce a new dataset, PubTables-1M, to benchmark progress in table extraction from unstructured documents,
as well as table structure recognition and functional analysis. The authors train 2 [DETR](detr) models, one for table detection and one for table structure recognition, dubbed Table Transformers.
@@ -40,7 +40,7 @@ special customization for these tasks.*
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/table_transformer_architecture.jpeg"
alt="drawing" width="600"/>
<small> Table detection and table structure recognition clarified. Taken from the <a href="https://arxiv.org/abs/2110.00061">original paper</a>. </small>
<small> Table detection and table structure recognition clarified. Taken from the <a href="https://huggingface.co/papers/2110.00061">original paper</a>. </small>
The authors released 2 models, one for [table detection](https://huggingface.co/microsoft/table-transformer-detection) in
documents, one for [table structure recognition](https://huggingface.co/microsoft/table-transformer-structure-recognition)