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aryand28/kathe2026-indictrans2-en-kas
kathe2026-indictrans2-en-kas is a translation model from aryand28. Use it when you need text moved from one language to another. The card lists the license as mit.
Weights used for the KATHE 2026 shared task submission.
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From the Hugging Face model README
Weights used for the KATHE 2026 shared task submission.
This is a redistributed copy of ai4bharat/indictrans2-en-indic-1B by AI4Bharat, published
here so that the task organizers can load it without needing access to the gated
upstream repository.
All credit for the underlying model belongs to AI4Bharat. Released under the MIT licence, matching upstream.
This model requires IndicTransToolkit for pre/postprocessing and
trust_remote_code=True. See the inference scripts in the accompanying GitHub
repository — load_model.py, infer_single.py, infer_batch.py.
from load_model import load_model, translate
tok, model, ip, device = load_model()
print(translate(["I am going to school today."], tok, model, ip, device))
@article{gala2023indictrans2,
title = {IndicTrans2: Towards High-Quality and Accessible Machine Translation
Models for all 22 Scheduled Indian Languages},
author = {Gala, Jay and Chitale, Pranjal A and Raghavan, Raghavan AK and others},
journal = {Transactions on Machine Learning Research},
year = {2023}
}