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Home/Models/AI4Bharat - IndicBART: Multilingual Sequence-to-Sequence Model

AI4Bharat - IndicBART: Multilingual Sequence-to-Sequence Model

A BART-based model pre-trained for various sequence-to-sequence tasks across multiple Indian languages.

About Model

IndicBART is a multilingual sequence-to-sequence model pre-trained for various tasks across multiple Indian languages. Based on the BART architecture, it is designed to handle tasks such as translation, summarization, and text generation. IndicBART aims to provide a unified model capable of understanding and generating text in diverse Indian languages, thereby facilitating a wide range of NLP applications.

AI4Bharat - IndicBART: Multilingual Sequence-to-Sequence Model

Metadata Metadata

MIT

Divyanshu Kakwani and Anoop Kunchukuttan and Satish Golla and Gokul N.C. and Avik Bhattacharyya and Mitesh M. Khapra and Pratyush Kumar

Multilingual Sequence-to-Sequence Model

N.A.

Open

AI4Bharat

Sector Agnostic

21/02/25 13:21:15

Nikhil Narasimhan

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 40
  • Views 452
  • File Size 0

Tags Tags

  • Multilingual
  • Sequence-to-Sequence
  • Indian Languages
  • NLP
  • BART

License Control License Control

MIT

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