class_docstr: T5 from a TensorFlow SavedModel, for black-box access.
  
  To create a SavedModel from a regular T5 checkpoint, see
  https://github.com/google-research/text-to-text-transfer-transformer#export
code: def output_spec(self):
      return {
          "output_text": lit_types.GeneratedText(parent="target_text")
      }
  
imports: import re
  import attr
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.examples.models import model_utils
  from lit_nlp.lib import file_cache
  from lit_nlp.lib import utils
  import tensorflow
  import tensorflow_text
  import transformers
  from rouge_score import rouge_scorer
label_desc: Use image node_id 6 for calling the T5SavedModel obj's underlying member method code with example usage: obj.output_spec() and returns: dict