code: def pretrained_model(
      request, get_language_id_from_pretrained_model_name
  ):
      model_name = request.param
      language_id = get_language_id_from_pretrained_model_name(
          model_name
      )
      model = AlignerModel.from_pretrained(model_name=model_name)
      return model, language_id
  
imports: import pytest
  import torch
  from nemo.collections.tts.models import AlignerModel
label_desc: Use image node_id 1 for calling a global function with example usage: pretrained_model(request, get_language_id_from_pretrained_model_name) and returns: model,  language_id