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Mt5 M2o Hindi Crosssum

Developed by csebuetnlp
A fine-tuned mT5 many-to-one summarization model based on the CrossSum dataset, supporting summarization of multilingual texts into Hindi
Downloads 22
Release Time : 4/20/2022

Model Overview

This model is a multilingual text summarization model based on the mT5 architecture, specifically optimized for the task of generating Hindi summaries from input texts in multiple languages. It can process inputs in various languages including Chinese, English, French, and more, and produce high-quality Hindi summaries.

Model Features

Multilingual Support
Supports input texts in over 40 languages, capable of handling a wide range of international content
Cross-lingual Summarization
Can summarize source texts in different languages into Hindi, enabling cross-lingual information processing
Based on mT5 Architecture
Utilizes the advanced mT5 model architecture with robust text comprehension and generation capabilities

Model Capabilities

Multilingual Text Comprehension
Cross-lingual Summarization
Hindi Text Generation

Use Cases

News Media
International News Summarization
Summarize international news in various languages into Hindi, making it easier for Hindi readers to quickly grasp global events
Enhances efficiency for Hindi readers in accessing international information
Academic Research
Multilingual Paper Summarization
Summarize academic papers published in different languages into Hindi to facilitate knowledge dissemination
Helps Hindi-speaking researchers quickly understand international academic progress
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