fine tuning encoder decoder for custom language translation
Hello everyone,
I would like to know if you can train a BERT2GPT model (or other models) for translation of customized languages ​​(from scratch). I need to translate gloss signals from ASL to English.

I have already looked for tutorials on the internet, but most of them are for the task of generating text, I cannot find tutorials for translating text.

I read about EncoderDecoder, I think it's possible, I just don't know how to make a notebook to perform training from scratch using the hugging face models.

Could you help me? Has anyone done something like that?
Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.
Could you ask your question on the [forum](https://discusss.huggingface.co) instead?


You might also find [this notebook](https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/BERT2BERT_for_CNN_Dailymail.ipynb) showing how to train an encoder-decoder model interesting.

Thanks!<|||||>Hello
Thanks for reply.
I opened a question in the forum, I am waiting for some help. 
Thank you again!<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.