text: Title: Best way to decode (translate) a hundred thousand files?
  Body: I'm currently looping through each text file and running `t2t-decoder` to translate into my target language.
  
  It appears loading my model per each file is taking a lot more time than necessary. What is the best way to go about this?  
  I have considered batching all my text files into one big text file for inference, but it doesn't seem to be a good idea as some of the text files need to fail appropriately as they contain errors from pre-processing (long story, don't ask me why.) 