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T5 Finetune Cnndaily News

Developed by minhtoan
A lightweight pre-trained encoder-decoder model based on Transformer architecture, specialized for Chinese news summarization tasks.
Downloads 22
Release Time : 12/1/2022

Model Overview

This model is trained on the CNN/Daily Mail news dataset and can automatically compress long news articles into concise summaries with a maximum output length of 150 words.

Model Features

Lightweight Design
Adopts a lightweight pre-training architecture, suitable for deployment in resource-limited environments.
Domain-Specific Optimization
Fine-tuned on the CNN/Daily Mail professional news dataset, achieving better summarization results for news texts.
Chinese Language Support
Specifically optimized for Chinese news content, capable of handling Chinese semantics and expression habits.

Model Capabilities

News Text Summarization
Long Text Compression
Key Information Extraction

Use Cases

News Media
Automatic News Summarization
Automatically generates article summaries for news websites or apps to improve user reading efficiency.
Produces concise summaries within 150 words, retaining key information from the original text.
Content Analysis
News Content Analysis
Extracts key information from large volumes of news for trend analysis or public opinion monitoring.
Quickly captures the core content of news, improving analysis efficiency.
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