Update README.md

README.md

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 ---
 license: mit
+datasets:
+- bsmock/pubtables-1m
+- bsmock/fintabnet.c
+tags:
+- table structure recognition
+- table extraction
 ---
+
+# Model Card for TATR-v1.1-All
+
+This repo contains the model weights for TATR (Table Transformer) v1.1, trained on the PubTables-1M and FinTabNet.c datasets, using the training details in the paper: ["Aligning benchmark datasets for table structure recognition"](https://arxiv.org/abs/2303.00716).
+
+These model weights are intended to be used with [the Microsoft implementation of Table Transformer (TATR)](https://github.com/microsoft/table-transformer).
+
+This model was trained to work best on tightly cropped table images (5 pixels or less).
+Images with significant padding included around the table were not included in the training, and so the model may not perform well on these at inference.
+Use a table detection model to detect and tightly crop the table prior to passing to this model.
+
+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](https://github.com/microsoft/table-transformer) for a script to create FinTabNet.c from the [original FinTabNet dataset](https://developer.ibm.com/exchanges/data/all/fintabnet/).
+
+## 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"](https://github.com/microsoft/table-transformer)
+- **Paper:** ["Aligning benchmark datasets for table structure recognition"](https://arxiv.org/abs/2303.00716)