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Tst Summarization
T
Tst Summarization
Developed by ChaniM
News summarization model fine-tuned on google/pegasus-xsum, trained on the cnn_dailymail dataset
Downloads 23
Release Time : 6/7/2023
Model Overview
This model is specifically designed for generating news summaries, capable of compressing lengthy articles into concise summaries.
Model Features
Efficient Summarization
Capable of quickly compressing long texts into concise summaries
PEGASUS Architecture
Utilizes Google's PEGASUS pre-trained model architecture, specifically optimized for summarization capabilities
News Domain Optimization
Fine-tuned on the cnn_dailymail news dataset, making it particularly suitable for news summarization tasks
Model Capabilities
Text Summarization Generation
Long Text Compression
News Content Extraction
Use Cases
News Media
Automatic News Summarization
Automatically generates article summaries for news websites
Improves reader efficiency by quickly providing key information
Content Aggregation
Generates standardized summaries for news aggregation platforms
Standardizes content presentation from various sources
Research Assistance
Literature Quick Review
Generates summaries of lengthy research papers for researchers
Speeds up literature screening and reading processes
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