How to apply transfer learning for language translation task in python?

I'm working on a project where I want to translate between languages. I used NMT (seq2seq with attention) model. But I have a very small dataset, so the results is not good enough. Then I read about transfer learning, where I can used pre trained model on another language and retrain it with my dataset. But I don't know how. I want to know what models I can use for that, and how to apply transfer learning. If you have any other solution I'm happy to see your answers and suggestions

How many English words
do you know?
Test your English vocabulary size, and measure
how many words do you know
Online Test
Powered by Examplum