class_docstr: Builder for T5 model Trainer with overrides.
code: def create_trainer(self) -> Trainer:
      strategy = self._training_strategy()
      plugins = self._plugins()
      return Trainer(
          plugins=plugins,
          strategy=strategy,
          **self.cfg.trainer,
          callbacks=[ModelSummary(max_depth=3), CustomProgressBar()],
      )
  
imports: import sys
  from typing import Union
  from omegaconf import DictConfig
  from pytorch_lightning import Trainer
  from pytorch_lightning.callbacks import ModelSummary
  from pytorch_lightning.plugins.environments import TorchElasticEnvironment
  from nemo.collections.nlp.parts.nlp_overrides import CustomProgressBar, GradScaler, MegatronHalfPrecisionPlugin, NLPDDPStrategy, NLPDDPStrategyNotebook, NLPFSDPStrategy, PipelineMixedPrecisionPlugin
  from nemo.utils import logging
label_desc: Use image node_id 1 for calling the MegatronT5TrainerBuilder obj's underlying member method code with example usage: obj.create_trainer() and returns: Trainer