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TAPEX: Large Model (Table Pre-training via Learning a Neural SQL Executor)
A large-sized pre-trained model designed to enhance table-based question answering and fact verification tasks.
About Model
The TAPEX Large Model is an expanded version of the TAPEX architecture, offering increased capacity for complex table reasoning tasks. Utilizing the BART encoder-decoder framework, this model is pre-trained to interpret and process extensive tabular data, facilitating improved performance in table-based question answering and fact verification applications.
TAPEX: Large Model (Table Pre-training via Learning a Neural SQL Executor)
Metadata
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 06:34:47
0
Activity Overview
0
5 
132 
0
Tags
- TableQuestionAnswering
- FactVerification
- PreTrainedModel
- BART
- LargeModel
License Control
MIT
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