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URL: https://huggingface.co/adalat-ai/ct2-rotary-indictrans2-en-indic-1B

⇱ adalat-ai/ct2-rotary-indictrans2-en-indic-1B · Hugging Face


Usage

We recommend using inference engine from IndicTrans2 for inference of these models. Please execute the following block of code from the root directory:

from inference.engine import Model

model = Model(ckpt_dir, model_type="ctranslate2")

sents = [sent1, sent2,...]

# for a batch of sentences
model.batch_translate(sents, src_lang, tgt_lang)

# for a paragraph
model.translate_paragraph(text, src_lang, tgt_lang)

Citation

If you use these models, please cite the following work:

@inproceedings{gumma-etal-2025-towards,
 title = "Towards Inducing Long-Context Abilities in Multilingual Neural Machine Translation Models",
 author = "Gumma, Varun and
 Chitale, Pranjal A and
 Bali, Kalika",
 editor = "Chiruzzo, Luis and
 Ritter, Alan and
 Wang, Lu",
 booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
 month = apr,
 year = "2025",
 address = "Albuquerque, New Mexico",
 publisher = "Association for Computational Linguistics",
 url = "https://aclanthology.org/2025.naacl-long.366/",
 pages = "7158--7170",
 ISBN = "979-8-89176-189-6"
}
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