# Abstractive summarization

A Russian text summarization model fine-tuned based on d0rj/rut5-base-summ, optimized for processing Russian text and capable of generating abstractive summaries.

A Russian automatic text summarization model fine-tuned based on d0rj/rut5-base-summ, optimized for Russian text and supporting abstractive summarization generation.

A BART fine-tuned model for long legal document summarization, employing multi-stage summarization approach for complex legal texts

A text summarization model fine-tuned based on T5-small, specifically designed to generate concise, coherent, and informative summaries from lengthy texts.

Danish news summarization model based on Google's mT5 architecture, fine-tuned using the DaNewsroom dataset

A Brazilian Portuguese abstractive text summarization model fine-tuned on PTT5, supporting summarization for various text types including news.

An English abstractive summarization model fine-tuned on MBART-large-50, trained on the CNN/DailyMail dataset, excelling at generating concise summaries for news articles.

A Persian summarization model fine-tuned on pn_summary dataset based on google/mt5-base

Abstractive summarization model fine-tuned on the Arabic summarization dataset xlsum based on AraT5-base

This is an Arabic summarization model based on the T5 architecture, fine-tuned on the wiki_lingua dataset.

This model is a fine-tuned version of the mT5 base model specifically for Spanish text summarization tasks, particularly suitable for generating summaries of news articles.

PEGASUS is a Transformer-based pre-trained model specifically designed for abstractive summarization tasks. It achieves outstanding performance on multiple summarization datasets through gap-sentence pre-training.

This is a Russian abstractive summarization model based on the T5 architecture and fine-tuned on multiple datasets, capable of generating concise and accurate text summaries.

An Italian abstractive summarization model fine-tuned on the Fanpage dataset based on mBART-large

Russian abstractive summarization model based on rugpt3medium_based_on_gpt2, specifically trained on the Gazeta dataset