                          and item.name.endswith(".py"))
          return models
  
      @staticmethod
      def get_default_model():
          """ Return the default training model plugin name
  
          Returns
          -------
          str:
 
</s> remove     def get_available_models():
 </s> add     def get_available_models() -> List[str]: </s> remove     def _get_vram_stats():
 </s> add     def _get_vram_stats() -> Dict[str, Union[int, str]]: </s> remove     def get_model(name, disable_logging=False):
 </s> add     def get_model(name: str, disable_logging: bool = False) -> "ModelBase": </s> remove         return PluginLoader._import("convert.{}".format(category), name, disable_logging)
 </s> add         return PluginLoader._import(f"convert.{category}", name, disable_logging) </s> remove     def get_trainer(name, disable_logging=False):
 </s> add     def get_trainer(name: str, disable_logging: bool = False) -> "TrainerBase":
    def get_default_model() -> str:
                          and item.name.endswith(".py"))
          return models
  
      @staticmethod
    def get_default_model() -> str:
          """ Return the default training model plugin name
  
          Returns
          -------
          str:
keep keep keep keep replace keep keep keep keep keep
 extract: Add batch processing mode 
plugins/plugin_loader.py