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 = FlaxBertModel(config)
      model.push_to_hub("test-model-flax", use_auth_token=self._token)
  
      new_model = FlaxBertModel.from_pretrained(
          f"{USER}/test-model-flax"
      )
  
      base_params = flatten_dict(unfreeze(model.params))
      new_params = flatten_dict(unfreeze(new_model.params))
  
      for key in base_params.keys():
          max_diff = (base_params[key] - new_params[key]).sum().item()
          self.assertLessEqual(
              max_diff, 1e-3, msg=f"{key} not identical"
          )
  
      # Reset repo
      delete_repo(token=self._token, repo_id="test-model-flax")
  
      # Push to hub via save_pretrained
      with tempfile.TemporaryDirectory() as tmp_dir:
          model.save_pretrained(
              tmp_dir,
              repo_id="test-model-flax",
              push_to_hub=True,
              use_auth_token=self._token,
          )
  
      new_model = FlaxBertModel.from_pretrained(
          f"{USER}/test-model-flax"
      )
  
      base_params = flatten_dict(unfreeze(model.params))
      new_params = flatten_dict(unfreeze(new_model.params))
  
      for key in base_params.keys():
          max_diff = (base_params[key] - new_params[key]).sum().item()
          self.assertLessEqual(
              max_diff, 1e-3, msg=f"{key} not identical"
          )
  
imports: import copy
  import inspect
  import json
  import random
  import tempfile
  import unittest
  from typing import List, Tuple
  import numpy
  import transformers
  from huggingface_hub import HfFolder, delete_repo, set_access_token
  from requests.exceptions import HTTPError
  from transformers import BertConfig, is_flax_available, is_torch_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import TOKEN, USER, CaptureLogger, is_pt_flax_cross_test, is_staging_test, require_flax, torch_device
  from transformers.utils import logging
  from transformers.utils.generic import ModelOutput
label_desc: Use image node_id 3 for calling the FlaxModelPushToHubTester obj's underlying member method code with example usage: obj.test_push_to_hub() without return types