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Home/Models/AI4Bharat - MultiIndic Model for Headline Generation

AI4Bharat - MultiIndic Model for Headline Generation

MultiIndicHeadlineGeneration is a multilingual, sequence-to-sequence pre-trained model fine-tuned on the IndicBART checkpoint for headline generation and summarization tasks across 11 Indian languages.

About Model

MultiIndicHeadlineGeneration is a sequence-to-sequence pre-trained model focusing on 11 Indian languages: Hindi, Marathi, Punjabi, Tamil, Telugu, Bengali, Gujarati etc. Fine-tuned on the IndicBART checkpoint, this model is ideal for building natural language generation applications such as headline generation, summarization, and related tasks. Smaller than mBART and mT5, it is computationally efficient for fine-tuning and decoding. Trained on a large corpus of 1.316 million paragraphs and 5.9 million unique tokens, all languages are represented in Devanagari script to support transfer learning among related languages.

AI4Bharat - MultiIndic Model for Headline Generation

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 13:20:53

Nikhil Narasimhan

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 5
  • Views 117
  • File Size 0

Tags Tags

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

License Control License Control

MIT

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