# Abstractive Summarization

This is a T5 model fine-tuned for Indonesian text summarization tasks, developed by the SumText team at Bina Nusantara University.

A BART-base architecture fine-tuned model for log summarization, specifically designed for abstractive summarization of software logs

A dialogue summarization model based on the BART architecture, specifically fine-tuned for the SAMSum dialogue dataset

This is a multilingual, long-text (supports up to 16k input tokens) abstractive summarization model. Trained on the sumstew dataset, it can generate titles and summaries for given input documents.

A Persian text summarization model based on the Longformer attention mechanism, supporting input lengths of up to 8K tokens.

A dialogue summarization model based on the BART architecture, specifically fine-tuned for the SAMSum corpus, capable of generating high-quality dialogue summaries.

A model fine-tuned based on PTT5 for generating abstractive summaries of Brazilian Portuguese texts.

This is a pre-trained T5 base standard Malay language model, trained through multitasking and supports various natural language processing tasks.

PEGASUS is an abstractive summarization model pre-trained with gap sentences, developed by Google Research.

PEGASUS is an abstractive summarization model based on pre-training with gap sentences, developed by Google Research.

This model is a seq2seq model based on the BART architecture, specifically designed for dialogue summarization tasks, fine-tuned on the SAMSum dataset.

A PEGASUS fine-tuned model for legal domain text summarization, specifically designed for generating abstractive summaries of legal documents

A sequence-to-sequence model based on the BART architecture, specifically fine-tuned for meeting and dialogue summarization tasks, capable of generating abstractive summaries from various dialogue data.

This model is a BART-large-xsum model fine-tuned on the Samsum dataset, specifically designed for dialogue summarization tasks.

PEGASUS is an abstractive summarization pre-trained model based on gap sentence extraction, focused on generating high-quality text summaries.

PEGASUS is a pretrained model based on extracting gap sentences, specifically designed for abstractive summarization tasks.