class_docstr: Uses the T5 tokenizer to convert an input for processing.
  
  For more information, please see the T5 paper, "Exploring the Limits of
  Transfer Learning with a Unified Text-to-Text Transformer".
  Appendix D contains information about the various tasks supported
  by T5.
  
  Supports the following modes:
  
  * summarization: summarize English text
  * english_to_german: translate English to German
  * english_to_french: translate English to French
  * english_to_romanian: translate English to Romanian
class_docstr_tok: ["Uses","the","T5","tokenizer","to","convert","an","input","for","processing",".","For","more","information",",","please","see","the","T5","paper",",","``","Exploring","the","Limits","of","Transfer","Learning","with","a","Unified","Text-to-Text","Transformer","''",".","Appendix","D","contains","information","about","the","various","tasks","supported","by","T5",".","Supports","the","following","modes",":","*","summarization",":","summarize","English","text","*","english_to_german",":","translate","English","to","German","*","english_to_french",":","translate","English","to","French","*","english_to_romanian",":","translate","English","to","Romanian"]
docstr: Converts IDs (typically generated by the model) back to a string.
docstr_tok: ["Converts","IDs","(","typically","generated","by","the","model",")","back","to","a","string","."]
code: def decode(self, ids):
      """Converts IDs (typically generated by the model) back to a string."""
      return self.tokenizer.decode(ids)
  
imports: import transformers
label_desc: Use image node_id 3 for calling the T5Tokenizer obj's underlying member method code with example usage: obj.decode(ids) and returns: self