Indian Flag
Government Of India
A-
A
A+
Home/Models/AI4Bharat - MultiIndic Model for Paraphrase Generation

AI4Bharat - MultiIndic Model for Paraphrase Generation

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

About Model

IndicParaphrase is a sequence-to-sequence pre-trained model based on IndicBART, fine-tuned on the IndicParaphrase dataset, supporting 11 Indian languages: Hindi, Marathi, Punjabi, Tamil, Telugu, Bengali, Gujarati etc. With a smaller size than mBART and mT5, it is more efficient for decoding. Trained on a vast corpus of 5.53 million sentences, it represents all languages in Devanagari script, fostering transfer learning between linguistically related languages.

AI4Bharat - MultiIndic Model for Paraphrase Generation

Metadata Metadata

MIT

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

Text Generation

N.A.

Open

AI4Bharat

Sector Agnostic

21/02/25 13:20:58

Nikhil Narasimhan

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 12
  • Views 187
  • File Size 0

Tags Tags

  • Paraphrase Generation
  • Text Generation
  • AI4Bharat
  • NLP
  • Deep Learning
  • Multilingual

License Control License Control

MIT

More Models from AI4Bharat More Models from AI4Bharat

AI4Bharat- 500 M - RomanSetu Multilingual Native-to-Roman Model
RomanSetu is a multilingual continual pretrained transformer model designed for transliteration across six Indic languages
Instruction-Tuning
LLaMA2
Multilingual
Llama
  • See Upvoters1
  • Downloads30
  • File Size0
  • Views441
Updated 7 month(s) ago
AI4BHARAT
View Details
share
AI4Bharat- 400 M - RomanSetu Multilingual Native-to-Roman Model
RomanSetu is a multilingual continual pretrained transformer model designed for transliteration across six Indic languages
Multilingual
Llama
Instruction-Tuning
LLaMA2
  • See Upvoters1
  • Downloads53
  • File Size0
  • Views563
Updated 7 month(s) ago
AI4BHARAT
View Details
share
AI4Bharat- Maithili - IndicConformer Automatic Speech Recognition (ASR) Model
This model takes in mono-channel audio files at a 16,000 Hz sampling rate (WAV format) and outputs the transcribed text of the speech contained in the audio.
Automatic Speech Recognition
Speech-to-Text
NLP
  • See Upvoters0
  • Downloads15
  • File Size0
  • Views337
Updated 7 month(s) ago
AI4BHARAT
View Details
share
AI4Bharat- Konkani - IndicConformer Automatic Speech Recognition (ASR) Model
Automatic Speech Recognition (ASR) model for Konkani speech recognition, processing 16,000 KHz mono WAV audio and transcribing spoken content into text
Speech-to-Text
NLP
Automatic Speech Recognition
  • See Upvoters0
  • Downloads21
  • File Size0
  • Views402
Updated 7 month(s) ago
AI4BHARAT
View Details
share
AI4Bharat- Kashmiri - IndicConformer Automatic Speech Recognition (ASR) Model
This Automatic Speech Recognition (ASR) model transcribes Kashmiri speech from 16,000 KHz mono WAV audio files into text
Kashmiri
Speech-to-Text
NLP
Automatic Speech Recognition
  • See Upvoters0
  • Downloads14
  • File Size0
  • Views390
Updated 7 month(s) ago
AI4BHARAT
View Details
share
AI4Bharat - Romansetu-200M -Multilingual LLM for Indian langauges using romanization
RomanSetu is Efficiently unlocking multilingual (Indian Languages) capabilities of Large Language Models via Romanization.
Instruction-Tuning
LLaMA2
Llama
Multilingual
  • See Upvoters0
  • Downloads1
  • File Size0
  • Views144
Updated 7 month(s) ago
AI4BHARAT
View Details
share
AI4Bharat - Romansetu-100M - Multilingual LLM for Indian langauges using romanization
RomanSetu is Efficiently unlocking multilingual (Indian Languages) capabilities of Large Language Models via Romanization.
Llama
Multilingual
Instruction-Tuning
LLaMA2
  • See Upvoters0
  • Downloads6
  • File Size0
  • Views219
Updated 7 month(s) ago
AI4BHARAT
View Details
share
AI4Bharat- Kannada - IndicConformer Automatic Speech Recognition (ASR) Model
This Kannada Automatic Speech Recognition (ASR) model transcribes 16kHz mono-channel audio into text. It utilizes a Conformer-Large architecture with 120M parameters and a hybrid CTC-RNNT decoder for high-accuracy speech recognition.
Automatic Speech Recognition
Audio Processing
NLP
  • See Upvoters0
  • Downloads13
  • File Size0
  • Views341
Updated 7 month(s) ago
AI4BHARAT
View Details
share
AI4Bharat – Romanized Path – Base to Supervised Fine-Tuning (SFT)
Romansetu model is built on base pretrained model which is supervised fine tuned on instuction-following tasks using romanized Indian languages.
LLaMA2
Instruction-Tuning
Multilingual
Llama
  • See Upvoters0
  • Downloads2
  • File Size0
  • Views84
Updated 7 month(s) ago
AI4BHARAT
View Details
share
AI4Bharat-IndicTrans2 Large-1B -English-to-Hindi (Devanagari) – : Language Translation Model
A large-scale neural machine translation (NMT) model for translating English to Hindi (Devanagari) language, leveraging 1 billion parameters for high-quality translations.
Machine Translation
Transformer
low-resource-NLP
high-quality-translation
Large Model
cross-lingual
NLP
Multilingual
  • See Upvoters0
  • Downloads23
  • File Size0
  • Views422
Updated 7 month(s) ago
AI4BHARAT
View Details
share

© 2026 - Copyright AIKosh. All rights reserved. This portal is developed by National e-Governance Division for AIKosh mission.