opus-mt-en-zh: Translation
The OPUS-MT-en-zh model is part of the OPUS-MT project, specifically designed for English-to-Chinese machine translation. Built on the Marian NMT framework, it is trained on a large bilingual corpus from the OPUS dataset. The OPUS-MT-en-zh model utilizes a Transformer architecture, which effectively captures the semantics of English text and translates it into natural and fluent Chinese. This model is widely used in cross-lingual text conversion, content localization, and multilingual communication, providing efficient and accurate English-to-Chinese translation for various needs.
Source model
- Input shape: Dynamic input
- Number of parameters: 50.02M, 56.04M, 56.04M
- Model size: 220.16M, 351.38M, 339.45M
- Output shape: Dynamic output
Source model repository: opus-mt-en-zh
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Inference & Model Conversion
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License
Source Model: CC-BY-4.0
Deployable Model: APLUX-MODEL-FARM-LICENSE