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Home/Models/AI4Bharat - IndicBERT: Multilingual Language Representation Model

AI4Bharat - IndicBERT: Multilingual Language Representation Model

A transformer-based model pre-trained on large-scale corpora, covering 12 major Indian languages.

About Model

Indic-BERT is a multilingual language representation model pre-trained on large-scale corpora covering 12 major Indian languages. It is based on the BERT architecture and is designed to provide contextual embeddings for various natural language processing tasks such as text classification, named entity recognition, and question answering. Indic-BERT aims to enhance the performance of NLP applications in Indian languages by offering rich semantic representations.

AI4Bharat - IndicBERT: Multilingual Language Representation 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 Language Model

N.A.

Open

AI4Bharat

Sector Agnostic

21/02/25 13:21:14

Nikhil Narasimhan

0

Activity Overview Activity Overview

  • Downloads1
  • Redirect 38
  • Views 739
  • File Size 0

Tags Tags

  • Multilingual
  • Language Model
  • Indian Languages
  • NLP
  • Bert

License Control License Control

MIT

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