readme: ---
  license: apache-2.0
  ---
  
  # Model description
  
  This is an [tapas-base](https://huggingface.co/google/tapas-base) model, trained on the lookup queries of [wikisql](https://huggingface.co/datasets/wikisql) dataset. It was trained to take tables and questions as input to extract answers from the table.
  
  # Overview
  
  *Language model*: tapas-base \
  *Language*: English\
  *Task*: Table Question Answering \
  *Data*: WikiSQL
  
  # Intented use and limitations
  One can use this model to predict answers for natural language queries given a table. Biases associated with pre-training of tapas-base and wikisql dataset may be present.
  
  ## Usage
  One can use this model directly in the [PrimeQA](https://github.com/primeqa/primeqa) framework as in this example [notebook](https://github.com/primeqa/primeqa/blob/tableqa_tapas/notebooks/tableqa/tableqa_inference.ipynb).
  
  
  ## Citation
  ```bibtex
  @misc{herzig2020tapas,
        title={TAPAS: Weakly Supervised Table Parsing via Pre-training}, 
        author={Jonathan Herzig and Paweł Krzysztof Nowak and Thomas Müller and Francesco Piccinno and Julian Martin Eisenschlos},
        year={2020},
        eprint={2004.02349},
        archivePrefix={arXiv},
        primaryClass={cs.IR}
  }
  
  ```