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T5 Small Finetuned Xsum
A text summarization model fine-tuned on the XSum dataset based on T5-small
Downloads 103
Release Time : 4/25/2025
Model Overview
This model is a fine-tuned version of the T5-small architecture on the XSum news summarization dataset, specifically designed for generating concise and accurate text summaries.
Model Features
Efficient Summarization
Optimized for news texts, capable of generating concise and accurate summaries
Lightweight Model
Based on T5-small architecture, reducing computational resource requirements while maintaining performance
Model Capabilities
Text Summarization Generation
English Text Processing
Use Cases
News Media
Automatic News Summarization
Automatically generates concise summaries for long news articles
Helps readers quickly grasp key news points
Content Analysis
Document Content Extraction
Extracts key information from long documents
Improves information processing efficiency
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