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AI4Bharat: General Sentence Summarization Multindic Model

It is a multilingual, sequence-to-sequence pre-trained model fine-tuned on the IndicSentenceSummarization dataset for sentence summarization across 11 Indian languages.

About Model

IndicSentenceSummarization is a sequence-to-sequence pre-trained model based on IndicBART, fine-tuned on the IndicSentenceSummarization dataset, supporting 11 Indian languages: Hindi, Marathi, Punjabi, Tamil, Telugu, Bengali, Gujarati etc. Smaller than mBART and mT5, the model is more efficient for decoding. Trained on a large corpus of 431K sentences, it uses Devanagari script for all languages, enhancing transfer learning across related languages and making it more accessible for multilingual summarization tasks.

AI4Bharat: General Sentence Summarization Multindic Model

Metadata Metadata

MIT

Aman Kumar, Himani Shrotriya, Prachi Sahu, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Amogh Mishra, Mitesh M. Khapra, Pratyush Kumar

Text Summarization

N.A.

Open

AI4Bharat

Sector Agnostic

21/02/25 13:20:57

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Activity Overview Activity Overview

  • Downloads0
  • Redirect 15
  • Views 254
  • File Size 0

Tags Tags

  • Text Summarization
  • AI4Bharat
  • NLP
  • Deep Learning
  • Multilingual

License Control License Control

MIT

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