opus mt tc big en pt Neural machine translation model for translating from English (en) to Portuguese (pt). 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 library by huggingface. Training data is taken from OPUS and training pipelines use the procedures of OPUS MT train. Publications: OPUS MT – Building open translation services for the World and The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT (Please, cite if you use this model.) Model info Release: 2022 03 13 source language(s): eng target language(s): pob por valid target language labels: pob por id pob<< Usage A short example code: You can also use OPUS MT models with the transformers pipelines, for example: Benchmarks test set translations: opusTCv20210807+bt transformer big 2022 03 13.test.txt test set scores: opusTCv20210807+bt transformer big 2022 03 13.eval.txt benchmark resul…
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