# Structured Data Query

A SQL generation model fine-tuned on Mistral-7B-v0.1, capable of generating SQL statements based on tables and questions

Sqlcoder is a model developed by Defog.ai, specializing in SQL code generation. Based on the StarCoder architecture, it can convert natural language queries into SQL statements.

NSQL-Llama-2-7B is a SQL generation model fine-tuned from Llama-2 7B, specifically designed for converting natural language to SQL queries.

This is an upgraded text-to-SQL conversion model based on the FLAN-T5 architecture, specifically designed to convert natural language questions into SQL queries.

OmniTab is a table-based question answering model that achieves few-shot table QA capabilities through pre-training on natural and synthetic data.

This is a T5-base architecture model fine-tuned on the WikiSQL dataset for generating questions from tables.

TAPEX-large is a large-scale language model pre-trained on tabular data, specifically fine-tuned for table question answering tasks. It achieves table understanding through a neural SQL executor and can answer natural language questions about table content.

TAPEX-large is a table QA model fine-tuned on the WikiSQL dataset, capable of understanding natural language questions and generating SQL queries or direct answers based on tabular data.

TAPAS is a table-based pre-trained language model specifically designed for processing tabular data and related queries.