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Helsinki-NLP/opus-mt-taw-en

Helsinki-NLP/opus-mt-taw-en is a machine learning model.

About Helsinki-NLP/opus-mt-taw-en

Tatoeba-Challenge challenges: English, French, Spanish, German, English . The language is divided into two languages: Lao, Thao, Thai, En, En and En . The code is based on an open-source language called TATUE . The results are based on the language language of the language used by the Helsinki-NLP (TATUE) and the language of a given language: English . It is designed to work with a language that can be translated into English . For example, the language was translated to English and French . It was designed to be a free-form language for the first time in the open source software . It has,
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