code: def test_push_to_hub(self):
      config = BertConfig(
          vocab_size=99,
          hidden_size=32,
          num_hidden_layers=5,
          num_attention_heads=4,
          intermediate_size=37,
      )
      model = TFBertModel(config)
      # Make sure model is properly initialized
      model.build_in_name_scope()
  
      logging.set_verbosity_info()
      logger = logging.get_logger("transformers.utils.hub")
      with CaptureLogger(logger) as cl:
          model.push_to_hub("test-model-tf", token=self._token)
      logging.set_verbosity_warning()
      # Check the model card was created and uploaded.
      self.assertIn(
          "Uploading the following files to __DUMMY_TRANSFORMERS_USER__/test-model-tf",
          cl.out,
      )
  
      new_model = TFBertModel.from_pretrained(f"{USER}/test-model-tf")
      models_equal = True
      for p1, p2 in zip(model.weights, new_model.weights):
          if not tf.math.reduce_all(p1 == p2):
              models_equal = False
              break
      self.assertTrue(models_equal)
  
      # Reset repo
      delete_repo(token=self._token, repo_id="test-model-tf")
  
      # Push to hub via save_pretrained
      with tempfile.TemporaryDirectory() as tmp_dir:
          model.save_pretrained(
              tmp_dir,
              repo_id="test-model-tf",
              push_to_hub=True,
              token=self._token,
          )
  
      new_model = TFBertModel.from_pretrained(f"{USER}/test-model-tf")
      models_equal = True
      for p1, p2 in zip(model.weights, new_model.weights):
          if not tf.math.reduce_all(p1 == p2):
              models_equal = False
              break
      self.assertTrue(models_equal)
  
imports: from __future__ import annotations
  import inspect
  import json
  import os
  import random
  import tempfile
  import unittest
  import unittest.mock
  from huggingface_hub import HfFolder, Repository, delete_repo, snapshot_download
  from huggingface_hub.file_download import http_get
  from requests.exceptions import HTTPError
  from transformers import is_tf_available, is_torch_available
  from transformers.configuration_utils import PretrainedConfig
  from transformers.testing_utils import TOKEN, USER, CaptureLogger, _tf_gpu_memory_limit, is_pt_tf_cross_test, is_staging_test, require_safetensors, require_tf, require_torch, slow
  from transformers.utils import SAFE_WEIGHTS_NAME, TF2_WEIGHTS_INDEX_NAME, TF2_WEIGHTS_NAME, logging
label_desc: Use image node_id 3 for calling the TFModelPushToHubTester obj's underlying member method code with example usage: obj.test_push_to_hub() without return types