Examples
Since Marian models are smaller than many other translation models available in the library, they can be useful for
  fine-tuning experiments and integration tests.
Fine-tune on GPU
Fine-tune on GPU with pytorch-lightning
Multilingual Models
All model names use the following format: Helsinki-NLP/opus-mt-{src}-{tgt}:
If a model can output multiple languages, and you should specify a language code by prepending the desired output
  language to the src_text.
You can see a models's supported language codes in its model card, under target constituents, like in opus-mt-en-roa.
Note that if a model is only multilingual on the source side, like Helsinki-NLP/opus-mt-roa-en, no language
  codes are required.
New multi-lingual models from the Tatoeba-Challenge repo
require 3 character language codes:
