code: def test_safetensors_flax_from_torch(self):
      hub_model = FlaxBertModel.from_pretrained(
          "hf-internal-testing/tiny-bert-flax-only"
      )
      model = BertModel.from_pretrained(
          "hf-internal-testing/tiny-bert-pt-only"
      )
  
      with tempfile.TemporaryDirectory() as tmp_dir:
          model.save_pretrained(tmp_dir, safe_serialization=True)
          new_model = FlaxBertModel.from_pretrained(tmp_dir)
  
      self.assertTrue(check_models_equal(hub_model, new_model))
  
imports: import tempfile
  import unittest
  import numpy
  from huggingface_hub import HfFolder, delete_repo, snapshot_download
  from requests.exceptions import HTTPError
  from transformers import BertConfig, BertModel, is_flax_available, is_torch_available
  from transformers.testing_utils import TOKEN, USER, is_pt_flax_cross_test, is_staging_test, require_flax, require_safetensors, require_torch
  from transformers.utils import FLAX_WEIGHTS_NAME, SAFE_WEIGHTS_NAME
label_desc: Use image node_id 16 for calling the FlaxModelUtilsTest obj's underlying member method code with example usage: obj.test_safetensors_flax_from_torch() without return types