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TAPEX: Base Model (Table Pre-training via Learning a Neural SQL Executor)
A base-sized pre-trained model designed to enhance table-based question answering and fact verification tasks.
About Model
The TAPEX Base Model is a foundational model pre-trained to empower existing systems with advanced table reasoning capabilities. Built upon the BART architecture, it utilizes a transformer encoder-decoder framework with a bidirectional encoder and an autoregressive decoder. This model is particularly adept at understanding and processing tabular data, making it suitable for tasks such as table-based question answering and fact verification.
TAPEX: Base 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 06:34:46
0
Activity Overview
0
3 
93 
0
Tags
- TableQuestionAnswering
- FactVerification
- PreTrainedModel
- BART
- TabularData
License Control
MIT
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