Model Card for TATR-v1.1-Fin

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".

These model weights are intended to be used with the Microsoft implementation of Table Transformer (TATR).

This model works best on tightly cropped table images (5 pixels or less).

Model weights that can be loaded into the Hugging Face implementation of TATR are coming soon.

FinTabNet.c will be officially released soon. Please see our GitHub repo for a script to create FinTabNet.c from the original FinTabNet dataset.

Model Details

Model Description

• Developed by: Brandon Smock and Rohith Pesala, while at Microsoft
• License: MIT
• Finetuned from model: DETR ResNet-18

Model Sources

Please see the following for more details:

• Repository: "https://github.com/microsoft/table-transformer"
• Paper: "Aligning benchmark datasets for table structure recognition"