A lightweight transformer-based neural machine translation (NMT) model designed for translating English to Hindi (Devanagari), optimized for efficiency with a 200M parameter size.
The IndicTrans2 Indic-to-English (200M) model by AI4Bharat is a distilled version of the IndicTrans2 series, designed for high-quality translation from multiple Indic languages into English. This model balances translation accuracy with computational efficiency, making it suitable for real-time applications on resource-constrained devices. IndicTrans2 builds on the strengths of its predecessor, IndicTrans, incorporating improvements in pretraining, tokenization, and model architecture. The 200M parameter version is a compact yet powerful option, optimized to deliver robust multilingual translations while reducing inference latency. It supports a wide range of Indic languages, making it valuable for research, education, and multilingual communication.
MIT
Jay Gala and Pranjal A Chitale and A K Raghavan and Varun Gumma and Sumanth Doddapaneni and Aswanth Kumar M and Janki Atul Nawale and Anupama Sujatha and Ratish Puduppully and Vivek Raghavan and Pratyush Kumar and Mitesh M Khapra and Raj Dabre and Anoop Kunchukuttan
text2text-translation
N.A.
Open
Sector Agnostic
21/02/25 13:21:18
0
MIT
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