code: def test_forward_xlnet(pretrain_file):
      """
      Test on a tiny xlnet, which hopefully does not take up too much disk space or memory
      """
      bert_model = "hf-internal-testing/tiny-random-xlnet"
  
      model = build_model(pretrain_file, "--bert_model", bert_model)
      run_forward_checks(model)
  
imports: import os
  import pytest
  import torch
  from stanza.models.common import pretrain
  from stanza.models.common.utils import set_random_seed
  from stanza.models.constituency import parse_transitions
  from stanza.tests import *
  from stanza.tests.constituency import test_parse_transitions
  from stanza.tests.constituency.test_trainer import build_trainer
label_desc: Use image node_id 22 for calling a global function with example usage: test_forward_xlnet(pretrain_file) without return types