opus-mt-zh-en: Translation
The OPUS-MT-zh-en model is part of the OPUS-MT project and is specifically designed for Chinese-to-English machine translation. OPUS-MT is an open-source neural machine translation project based on Marian NMT, supporting translation tasks across various language pairs. The OPUS-MT-zh-en model is trained on a large bilingual corpus from the OPUS dataset and utilizes a Transformer architecture, which enables strong cross-lingual translation capabilities. This model efficiently translates Chinese text into English, making it widely used in cross-language text conversion, information retrieval, and multilingual communication, providing fast and accurate translation results.
Source model
- Input shape: Dynamic input
- Number of paramaters: 50.02M, 56.04M, 56.04M
- Model size: 220.16M, 351.38M, 339.45M
- Output shape: Dynamic output
Source model repository: opus-mt-zh-en
Performance Reference
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Inference & Model Conversion
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License
Source Model: CC-BY-4.0
Deployable Model: APLUX-MODEL-FARM-LICENSE