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Gpt2 Base Style Paraphraser

Developed by filco306
Unsupervised style transfer model based on GPT2 architecture, achieving text style conversion through paraphrase generation
Downloads 64
Release Time : 3/2/2022

Model Overview

This model originates from the research by Krishna et al., reframing unsupervised style transfer as a paraphrase generation task, capable of altering writing styles while preserving the original text semantics

Model Features

Unsupervised Style Transfer
Achieves text style conversion without requiring parallel corpora
Paraphrase Generation Framework
Reframes style transfer as a paraphrase generation task
Semantic Preservation
Maintains original text semantics while transforming styles

Model Capabilities

Text Style Transfer
Paraphrase Generation
Unsupervised Learning

Use Cases

Text Editing
Formalization Rewriting
Converts informal text into formal style
Changes tone and word choice while preserving meaning
Style Adaptation
Adjusts text style according to target audience
Makes content more suitable for specific readers
Content Creation
Diverse Expression
Generates different style versions for the same content
Enhances content diversity and adaptability
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