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Home/Models/AI4Bharat: Specific Sentence Summarization Multindic Model

AI4Bharat: Specific Sentence Summarization Multindic Model

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

About Model

It 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, it is computationally more efficient for decoding. Trained on a vast corpus of 5.53 million sentences, each language is represented in its own script, removing the need for script mapping to/from Devanagari, making it ideal for summarization tasks across various Indian languages.

AI4Bharat: Specific 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 13:20:56

Nikhil Narasimhan

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 1
  • Views 146
  • File Size 0

Tags Tags

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

License Control License Control

MIT

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