docstr: This test checks that we can load safetensors from a checkpoint that only has those on the Hub.
  saved in the "pt" format.
docstr_tok: ["This","test","checks","that","we","can","load","safetensors","from","a","checkpoint","that","only","has","those","on","the","Hub",".","saved","in","the","``","pt","''","format","."]
code: def test_safetensors_load_from_hub_from_safetensors_pt(self):
      """
      This test checks that we can load safetensors from a checkpoint that only has those on the Hub.
      saved in the "pt" format.
      """
      flax_model = FlaxBertModel.from_pretrained(
          "hf-internal-testing/tiny-bert-msgpack"
      )
  
      # Can load from the PyTorch-formatted checkpoint
      safetensors_model = FlaxBertModel.from_pretrained(
          "hf-internal-testing/tiny-bert-pt-safetensors"
      )
      self.assertTrue(check_models_equal(flax_model, safetensors_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 9 for calling the FlaxModelUtilsTest obj's underlying member method code with example usage: obj.test_safetensors_load_from_hub_from_safetensors_pt() without return types