opus-mt-en-zh is a neural machine translation model developed by the Helsinki-NLP research group. It is based on the Marian framework and available for use with Transformers, PyTorch, TensorFlow, and JAX. The model is fully open-source under Apache-2.0 and can be run locally or via Hugging Face inference providers for English-to-Chinese translation tasks.
Opus Mt En Zh sits in PulseGate's Text translation category. It focuses on translating text between English and Chinese without access to high-quality open models. It is built as an open-source project for developers and researchers. Opus Mt En Zh is open source under the Open Source license. It runs on the web and API.
Helsinki-NLP builds and maintains Opus Mt En Zh, and it first shipped in 2020. Development happens publicly on GitHub with 855 stars. Key capabilities include Machine Translation, english to Chinese, and Transformers Compatible. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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