Running seq2seq_trainer with iterable datasets 
Hi
Looking into https://github.com/huggingface/transformers/blob/master/examples/seq2seq/seq2seq_trainer.py line 117, if the dataset is iterative, then the code does not return a distributed sampler so in case one wants to train on TPUs on multiple cores with iterable datasets, I was wondering if you could assist me how I can use the codes for iterable datasets on TPUs
thanks
Maybe @patil-suraj has an idea!<|||||>Hi
I really appreciate assisting me with this question, I am still struggling with it, could you tell me some pointers, how to add the handling capability of iterative datasets to finetune_trainer.py codes. thanks  @patil-suraj <|||||>This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
