# Multi-turn Dialogue Processing

This model is a text summarization model fine-tuned on the samsum dataset based on google/pegasus-cnn_dailymail, specifically designed for dialogue summarization tasks.

A dialogue summarization model based on the BART-large architecture, specifically fine-tuned for the SAMSum corpus, capable of efficiently generating abstract summaries of dialogues.

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

This model is a fine-tuned version based on mt5-base-squad2-fin on the squad_v2 dataset, primarily used for question answering tasks.

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

A dialogue summarization model based on the BART-large architecture, fine-tuned specifically for the SAMSum corpus, suitable for generating dialogue summaries.

This model is based on Sberbank-AI's DialoGPT pre-trained on Russian forum data and further fine-tuned using personal Telegram chat logs.

An English case-sensitive BERT model trained on conversational data from Twitter, Reddit, DailyDialogues, etc., suitable for natural language processing tasks in dialogue scenarios.