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license: apache-2.0
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---
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license: apache-2.0
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---
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# Model description
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This is an [tapas-base](https://huggingface.co/google/tapas-base) model, trained on the lookup queries of wikisql [wikisql](https://huggingface.co/datasets/wikisql) dataset. It was trained to take the tables and questions as input to extract answers from the table.
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# Overview
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*Language model*: tapas-base \
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*Language*: English\
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*Task*: Table Question Answering \
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*Data*: WikiSQL
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# Intented use and limitations
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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.
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## Usage
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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).
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## Citation
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```bibtex
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@misc{herzig2020tapas,
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title={TAPAS: Weakly Supervised Table Parsing via Pre-training},
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author={Jonathan Herzig and Paweł Krzysztof Nowak and Thomas Müller and Francesco Piccinno and Julian Martin Eisenschlos},
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year={2020},
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eprint={2004.02349},
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archivePrefix={arXiv},
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primaryClass={cs.IR}
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}
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```
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