Model description
This is an tapas-base model, trained on the lookup queries of 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 framework as in this example notebook.
Citation
@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}
}
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.