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Mt5 M2o Russian Crosssum

Developed by csebuetnlp
A multilingual summarization model based on the mT5 architecture that can summarize texts in multiple languages into Russian
Downloads 66
Release Time : 4/21/2022

Model Overview

This model is a many-to-one (m2o) mT5 model fine-tuned on the CrossSum dataset, capable of automatically summarizing input texts in multiple languages into Russian output.

Model Features

Multilingual Support
Supports input in over 40 languages with Russian summarization output
Cross-lingual Summarization Capability
Can comprehend texts in multiple languages and generate accurate Russian summaries
Based on mT5 Architecture
Utilizes the powerful mT5 multilingual pre-trained model for fine-tuning

Model Capabilities

Cross-lingual Text Summarization
Multilingual Comprehension
Russian Text Generation

Use Cases

News Media
Multilingual News Summarization
Summarizing global news reports in various languages into Russian
Helps Russian readers quickly grasp key points of international news
Academic Research
Multilingual Paper Summarization
Summarizing academic papers written in different languages into Russian
Promotes international academic exchange in the Russian-speaking community
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