code: def _forward(self, model_inputs, **generate_kwargs):
      stop = []
      if generate_kwargs.get("stop"):
          stop += generate_kwargs["stop"]
      if self.stop:
          stop += self.stop
          stop = sorted(set(self.stop))
      if self.can_stop or stop:
          self.stopping_criteria = get_stopping(
              self.prompt_type,
              self.prompt_dict,
              self.tokenizer,
              self.device,
              self.base_model,
              human=self.human,
              bot=self.bot,
              model_max_length=self.tokenizer.model_max_length,
              prompter=self.prompter,
              stop=stop,
              truncation_generation=self.truncation_generation,
          )
          generate_kwargs["stopping_criteria"] = self.stopping_criteria
      generate_kwargs.pop("stop", None)
      # return super()._forward(model_inputs, **generate_kwargs)
      return self.__forward(model_inputs, **generate_kwargs)
  
file_path: h2ogpt/src/h2oai_pipeline.py
imports: import os
  from transformers import TextGenerationPipeline
  from transformers.pipelines.text_generation import ReturnType
  from stopping import get_stopping
  from prompter import Prompter
label_desc: Use image node_id 7 for calling the H2OTextGenerationPipeline obj's underlying member method code with example usage: obj._forward(model_inputs) and returns: self