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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 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

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Activity Overview Activity Overview

  • Downloads0
  • Redirect 5
  • File Size 0
  • Views 171

Tags Tags

  • BART
  • TableQuestionAnswering
  • PreTrainedModel
  • FactVerification
  • LargeModel

License Control License Control

MIT

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