code: def main():
      exceptions = []
  
      try:
          with temporary_hf_repo():
              test_hf_model_hub()
      except Exception as exc:
          exceptions.append(exc)
  
      try:
          test_tokenizers_transfomers()
      except Exception as exc:
          exceptions.append(exc)
  
      if exceptions:
          print("encountered the following exceptions:")
          for exc in exceptions:
              print(exc)
          raise RuntimeError(f"{len(exceptions)} of 2 tests failed")
      print("All tests succeeded")
  
imports: import os
  import pickle
  from contextlib import contextmanager
  import numpy
  import torch
  from huggingface_hub import HfApi, create_repo, hf_hub_download
  from sklearn.datasets import fetch_20newsgroups, make_classification
  from sklearn.metrics import accuracy_score
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import Pipeline
  from torch import nn
  from transformers import AutoModelForSequenceClassification
  from skorch import NeuralNetClassifier
  from skorch.hf import HuggingfacePretrainedTokenizer
  from skorch.callbacks import TrainEndCheckpoint
  from skorch.hf import HfHubStorage
label_desc: Use image node_id 7 for calling a global function with example usage: main() without return types