A large-sized TAPEX model pre-trained to simulate neural SQL execution, enabling the execution of SQL queries on given tables.
The TAPEX Large SQL Execution Model is pre-trained to function as a neural SQL executor. It is designed to execute SQL queries on provided tables, facilitating complex data retrieval and manipulation tasks. This model is particularly useful for applications that require the simulation of SQL query execution within a neural framework, enabling seamless integration of database operations into machine learning workflows. By learning from a synthetic corpus of executable SQL queries, the model has developed a deep understanding of table structures and SQL operations, making it adept at handling various table reasoning tasks.
MIT
Qian Liu and Bei Chen and Jiaqi Guo and Morteza Ziyadi and Zeqi Lin and Weizhu Chen and Jian-Guang Lou
Fine-Tuned Model
N.A.
Open
Sector Agnostic
12/03/25 06:34:45
0
MIT
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