# News text compression

An Arabic text summarization model fine-tuned based on AraT5v2, optimized for news and long-text summarization

A Russian abstract generation model fine-tuned on the gazeta dataset based on google/mt5-small

Korean text summarization model trained on gogamza/kobart-base-v2, using 680,000 summary data points from AI Hub

ViSummary is a Vietnamese text summarization model based on the T5 architecture, capable of compressing long texts into concise summaries.

A lightweight pre-trained encoder-decoder Transformer model designed for Vietnamese news summarization

A Dutch news summarization model fine-tuned on mbart-large-cc25, supporting CNN/DailyMail and XSum format summarization tasks

A T5-based summarization model optimized for Indonesian language, fine-tuned from huseinzol05's bahasa model, suitable for Indonesian text summarization tasks

BART model pre-trained on English corpus, specifically fine-tuned for the CNN/Daily Mail dataset, suitable for text summarization tasks

This model is a fine-tuned Italian abstractive summarization model based on gsarti/it5-base on the Fanpage dataset