This is a variant of the google/mt5-base model, in which Ukrainian and 9% English words remain. This model has 252M parameters - 43% of the original size. Special thanks for the practical example and inspiration: cointegrated
Citing & Authors
@misc{Uaritm,
title={SetFit: Classification of medical texts},
author={Vitaliy Ostashko},
year={2022},
url={https://esemi.org}
}
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