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Bert2bert Fa Wiki Summary
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Bert2bert Fa Wiki Summary
Developed by m3hrdadfi
A Bert2Bert article summarization model trained on the Wiki Summary dataset, capable of generating concise summaries of articles.
Downloads 130
Release Time : 3/2/2022
Model Overview
This model adopts the Bert2Bert architecture, specifically designed for text summarization tasks, capable of extracting key information from lengthy articles to generate concise summaries.
Model Features
Efficient Summary Generation
Capable of quickly extracting key information from lengthy articles and generating concise summaries.
Trained on Wiki Data
Trained using the Wiki Summary dataset, suitable for generating summaries of encyclopedia-style articles.
Chinese Language Support
Specifically optimized for Chinese text, better handling the linguistic characteristics of Chinese.
Model Capabilities
Text Summarization
Information Extraction
Chinese Text Processing
Use Cases
Content Summarization
Encyclopedia Article Summarization
Generates concise summaries for encyclopedia-style articles, facilitating quick understanding of the main content.
ROUGE-2 score of 8.47
News Article Summarization
Extracts key information from news articles to generate brief summaries.
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