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T5 Finetune Bbc News

Developed by minhtoan
A lightweight pre-trained encoder-decoder model based on the Transformer architecture, optimized for text summarization tasks.
Downloads 18
Release Time : 12/12/2022

Model Overview

This model is trained on the BBC News dataset (Extreme Summarization XSum dataset) and is suitable for generating summaries of news texts.

Model Features

Lightweight Model
A lightweight pre-trained encoder-decoder model based on the Transformer architecture, suitable for rapid deployment and inference.
Optimized for Summarization
The model is specifically optimized for text summarization tasks, capable of generating concise and informative summaries.
Trained on BBC News Dataset
Trained on the BBC News dataset (Extreme Summarization XSum dataset), suitable for generating summaries of news texts.

Model Capabilities

Text Summarization

Use Cases

News Summarization
News Summarization
Input news text to generate a concise summary.
Generate a news summary within 150 words.
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