Edit model card

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
Inference Examples
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.