Create README.md

README.md

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+---
+license: mit
+datasets:
+- ethanbradley/synfintabs
+language:
+- en
+base_model:
+- microsoft/layoutlm-base-uncased
+---
+
+# FinTabQA: Financial Table Question-Answering
+
+A model for financial table question-answering using the [LayoutLM](https://huggingface.co/microsoft/layoutlm-base-uncased) architecture.
+
+## Quick start
+
+To get started with FinTabQA, load it, and the tokenizer, like you would any other Hugging Face Transformer model.
+
+```python3
+from transformers import LayoutLMForQuestionAnswering, LayoutLMTokenizer
+
+model = LayoutLMForQuestionAnswering.from_pretrained("ethanbradley/fintabqa")
+tokenizer = LayoutLMTokenizer.from_pretrained(
+    "microsoft/layoutlm-base-uncased")
+```
+
+## Citation
+
+If you use this model, please cite both the article using the citation below and the model itself.
+
+```bib
+@misc{bradley2024synfintabs,
+      title         = {Syn{F}in{T}abs: A Dataset of Synthetic Financial Tables for Information and Table Extraction},
+      author        = {Bradley, Ethan and Roman, Muhammad and Rafferty, Karen and Devereux, Barry},
+      year          = {2024},
+      eprint        = {2412.04262},
+      archivePrefix = {arXiv},
+      primaryClass  = {cs.LG},
+      url           = {https://arxiv.org/abs/2412.04262}
+}
+```