# Long text compression

This is a T5-based multitask model that supports text summarization generation and mutual translation in English, Russian, and Chinese, capable of generating summaries of varying lengths based on instructions.

A Vietnamese text summarization model based on T5 architecture, fine-tuned on an unknown dataset, capable of generating concise Vietnamese summaries.

A summarization model based on the Bart-Large architecture, specifically designed to accurately summarize research paper content into a format suitable for slide presentations.

A multi-news text summarization model based on the BART architecture, fine-tuned on the multi_news dataset, excelling at generating concise summaries of news articles.

This model is a Hungarian summarization generation model fine-tuned on mBART-large-50, specifically designed for generating abstractive summaries of Hungarian texts.

Ukrainian news summarization model fine-tuned based on mt5-large architecture, trained using UberText corpus

A Persian article summarization model built on the pnSummary dataset, suitable for commercial text summarization tasks.

A T5 base model fine-tuned for Indonesian text summarization, based on huseinzol05's t5-base-bahasa-summarization-cased model and fine-tuned using the indosum dataset.

A Dutch news summarization model fine-tuned based on the MBART architecture, developed by ml6team

A large-scale summarization model based on the BART architecture, fine-tuned specifically on the xsum dataset, excelling at generating concise news summaries.

This model is a Persian text summarization model based on the mT5-base architecture, specifically optimized for the pn_summary dataset, capable of generating high-quality Persian text summaries.

Russian news headline generation model based on rut5-base, optimized for the Telegram platform