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Let’s democratize NLP for all languages! 
Today, with v2.9.1, we are releasing 1,008 machine translation models, covering ` of 140 different languages trained by @jorgtiedemann with @marian, ported by @sam_shleifer. Find your language here: https://huggingface.co/models?search=Helsinki-NLP%2Fopus-mt [1/4]
![Let’s democratize NLP for all languages! Today, with v2.9.1, we are releasing 1,008 machine translation models, covering ` of 140 different languages trained by @jorgtiedemann with @marian, ported by @sam_shleifer. Find your language here: https://huggingface.co/models?search=Helsinki-NLP%2Fopus-mt [1/4]](https://pbs.twimg.com/media/EX-up8xWkAE3LYA.jpg "Let’s democratize NLP for all languages! Today, with v2.9.1, we are releasing 1,008 machine translation models, covering ` of 140 different languages trained by @jorgtiedemann with @marian, ported by @sam_shleifer. Find your language here: https://huggingface.co/models?search=Helsinki-NLP%2Fopus-mt [1/4]")
Today, with v2.9.1, we are releasing 1,008 machine translation models, covering ` of 140 different languages trained by @jorgtiedemann with @marian, ported by @sam_shleifer. Find your language here: https://huggingface.co/models?search=Helsinki-NLP%2Fopus-mt [1/4]
To celebrate, @Teven, our historian-in-residence, wrote up a history of MT in honor of the release: https://medium.com/huggingface/a-brief-history-of-machine-translation-paradigms-d5c09d8a5b7e [2/4]
Here's a colab for playing with the en-ROMANCE multilingual model https://colab.research.google.com/drive/1z9UtSETxVrDhYnH1eN9lyMv2g-YTFNrz?usp=sharing [3 / 4]
and a gist of how some of the bilingual models translate the first part of this thread: https://gist.github.com/sshleifer/a5498e4d829a016b5875516d659ed50f [4/4]
Correction, models were trained with @marian_nmt !
