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Home/Models/AI4Bharat: Sentence-specific Headline Generation Multindic Model

AI4Bharat: Sentence-specific Headline Generation Multindic Model

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

About Model

It is a sequence-to-sequence pre-trained model focusing on 11 Indian languages: Hindi, Marathi, Punjabi, Tamil, Telugu, Bengali, Gujarati etc. It is fine-tuned on the IndicBARTSS checkpoint and can be used for tasks like summarization, headline generation, and other related applications in Indian languages. The model is smaller than mBART and mT5, making it computationally efficient for fine-tuning and decoding. Trained on a large corpus of 1.316 million paragraphs and 5.9 million unique tokens, it supports each language in its own script, eliminating the need for Devanagari script mapping.

AI4Bharat: Sentence-specific Headline Generation 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 13:20:55

Nikhil Narasimhan

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 1
  • Views 114
  • File Size 0

Tags Tags

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

License Control License Control

MIT

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