Table Structure Recognition Model for Pix2Text (P2T)

Currently, this model is forked from https://huggingface.co/microsoft/table-transformer-structure-recognition-v1.1-all (much thanks to the authors), and will be evolving afterward.

Documents for Pix2Text

• Pix2Text V1.0 New Release: The Best Open-Source Formula Recognition Model | Breezedeus.com ;
• Pix2Text (P2T) Github: breezedeus/pix2text ;
• Pix2Text Online Free Service: p2t.breezedeus.com ;
• Pix2Text More: breezedeus.com/pix2text ;

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Table Transformer (TATR) model trained on PubTables1M and FinTabNet.c. It was introduced in the paper Aligning benchmark datasets for table structure recognition by Smock et al. and first released in this repository.

Disclaimer: The team releasing Table Transformer did not write a model card for this model so this model card has been written by the Hugging Face team.

Model description

The Table Transformer is equivalent to DETR, a Transformer-based object detection model. Note that the authors decided to use the "normalize before" setting of DETR, which means that layernorm is applied before self- and cross-attention.

Usage

You can use the raw model for detecting tables in documents. See the documentation for more info.