Six-direction EN-RU-ZH coverage
According to the model card, the model translates directly between any pair of Russian, Chinese, and English across six configured directions.
Open Source Model Profile · utrobinmv
t5_translate_en_ru_zh_small_1024 is a 110.7M-parameter T5 translation model from utrobinmv. Its model card documents direct translation across six English, Russian, and Chinese directions.
t5_translate_en_ru_zh_small_1024 is published by utrobinmv as a translation model. The captured configuration identifies T5ForConditionalGeneration with model type t5, and Safetensors metadata reports 110,724,480 parameters (about 110.7M). According to the model card, it is a multitask T5 configured for direct translation between English, Russian, and Chinese.
According to the model card, the model translates directly between any pair of Russian, Chinese, and English across six configured directions.
The card documents a translate to : prefix that selects the target language without requiring the source language to be specified.
Captured metadata identifies a T5ForConditionalGeneration model with about 110.7M parameters and transformers library support, loadable via from_pretrained.
Source: utrobinmv/t5_translate_en_ru_zh_small_1024
Captured: Unknown. Processed: 2026-09-07T19:35:00.370542+00:00.
T5 English, Russian and Chinese multilingual machine translation This model represents a conventional T5 transformer in multitasking mode for translation into the required language, precisely configured for machine translation for pairs: ru-zh, zh-ru, en-zh, zh-en, en-ru, ru-en. The model can perform direct translation between any pair of Russian, Chinese or English languages. For translation into the target language, the target language identifier is specified as a prefix 'translate to :'. In this case, the source language may not be specified, in addition, the source text may be multilingual. Example translate Russian to Chinese f…
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