| | --- |
| | 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} |
| | } |
| | |
| | ``` |
