Chinese-to-Japanese translation
Captured hub records identify the translation pipeline with Chinese and Japanese tags, and the model card names Chinese as source and Japanese as target.
Open Source Model Profile · Helsinki-NLP
opus-mt-tc-big-zh-ja
opus-mt-tc-big-zh-ja is a 209M-parameter Marian translation model from Helsinki-NLP. According to the model card, it translates Chinese source text to Japanese.
- Publisher
- Helsinki-NLP
- Task
- translation
- Model type
- marian
- License
- cc-by-4.0
- Library
- transformers
- Publication status
- Approved for indexing
Model overview
opus-mt-tc-big-zh-ja is published by Helsinki-NLP as a translation model. The captured configuration identifies MarianMTModel, and Safetensors metadata reports 209,158,401 parameters. According to the model card, it is a transformer-big OPUS-MT model for Chinese-to-Japanese translation released 2022-07-28.
Recorded capabilities
OPUS-MT project provenance
According to the model card, the model belongs to the OPUS-MT project, was originally trained in Marian NMT, and was converted to PyTorch with the Transformers library.
Documented release and recipe
According to the model card, the transformer-big release of 2022-07-28 uses opusTCv20210807 data with SentencePiece spm32k preprocessing.
Publisher risk disclosure
According to the model card, the publisher warns the model was trained on public datasets that may contain disturbing or offensive content and propagate stereotypes.
Use cases in the source record
- Chinese-to-Japanese neural machine translation workflows consistent with the card's stated language direction.
- Transformers-based text2text experiments that follow the card's Marian NMT and OPUS-pipeline description.
Limitations and unknowns
- No evaluation results were extracted from this record.
- No context-window value was extracted from this record.
- Provider state is historical snapshot data, not independently refreshed current availability.
- Training, release, and risk details come from the publisher model card and were not independently verified.
Source and provenance
Source: Helsinki-NLP/opus-mt-tc-big-zh-ja
Captured: Unknown. Processed: 2026-09-07T19:34:31.500350+00:00.
opus-mt-tc-big-zh-ja Table of Contents Model Details Uses Risks, Limitations and Biases How to Get Started With the Model Training Evaluation Citation Information Acknowledgements Model Details Neural machine translation model for translating from Chinese (zh) to Japanese (ja). This model is part of the OPUS-MT project , an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of Marian NMT , an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers libr…
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