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PEGASUS Liputan6
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PEGASUS Liputan6
Developed by fatihfauzan26
An Indonesian abstract generation model based on PEGASUS architecture, fine-tuned on the Liputan6 news dataset, suitable for automatic summarization of Indonesian news content.
Downloads 14
Release Time : 10/6/2024
Model Overview
This model is based on Google's PEGASUS architecture and specifically fine-tuned for Indonesian news content, capable of generating concise summaries from lengthy news articles.
Model Features
Indonesian Optimization
Specially fine-tuned for Indonesian news content, excelling in Indonesian summarization tasks
Efficient Summarization
Capable of extracting key information from lengthy news articles to generate concise and accurate summaries
Transfer Learning
Based on the pre-trained PEGASUS model, achieving good results even with limited data
Model Capabilities
Text summarization
Indonesian language processing
News content understanding
Use Cases
News Media
Automatic News Summarization
Automatically generate article summaries for online news platforms to enhance user experience
Reduces user reading time and improves content browsing efficiency
Content Aggregation
Generate standardized news summaries for news aggregation applications
Helps users quickly grasp key points from multiple news sources
Business Intelligence
Market Report Summarization
Automatically generate key takeaways from Indonesian market reports
Helps decision-makers quickly grasp market trends
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