T5 Abstractive
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T5 Abstractive
Developed by migz117
This is a T5 model fine-tuned for Indonesian text summarization tasks, developed by the SumText team at Bina Nusantara University.
Downloads 23
Release Time : 12/16/2024
Model Overview
Based on the T5 architecture, this model is specifically designed for abstractive summarization of Indonesian texts, capable of extracting key information from Indonesian news articles to generate concise summaries.
Model Features
Indonesian Language Optimization
Specially fine-tuned for Indonesian texts, excelling in Indonesian summarization tasks.
Abstractive Summarization Capability
Capable of generating fluent and coherent abstractive summaries, not just extracting key sentences.
T5 Architecture-Based
Leverages the powerful T5 transformer architecture, offering strong text comprehension and generation capabilities.
Model Capabilities
Indonesian Text Understanding
Abstractive Summarization Generation
News Article Summarization
Use Cases
News Media
Automatic News Article Summarization
Automatically generates concise summaries for Indonesian news articles.
Helps readers quickly grasp the main content of articles.
Content Analysis
Long Document Content Extraction
Extracts key information from long Indonesian documents to generate summaries.
Improves document processing efficiency.
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