code: def test_cached_model_has_minimum_calls_to_head(self):
      # Make sure we have cached the model.
      _ = TFAutoModel.from_pretrained(
          "hf-internal-testing/tiny-random-bert"
      )
      with RequestCounter() as counter:
          _ = TFAutoModel.from_pretrained(
              "hf-internal-testing/tiny-random-bert"
          )
          self.assertEqual(counter.get_request_count, 0)
          self.assertEqual(counter.head_request_count, 1)
          self.assertEqual(counter.other_request_count, 0)
  
      # With a sharded checkpoint
      _ = TFAutoModel.from_pretrained(
          "ArthurZ/tiny-random-bert-sharded"
      )
      with RequestCounter() as counter:
          _ = TFAutoModel.from_pretrained(
              "ArthurZ/tiny-random-bert-sharded"
          )
          self.assertEqual(counter.get_request_count, 0)
          self.assertEqual(counter.head_request_count, 1)
          self.assertEqual(counter.other_request_count, 0)
  
imports: import copy
  import tempfile
  import unittest
  from transformers import CONFIG_MAPPING, AutoConfig, BertConfig, GPT2Config, T5Config, TapasConfig, is_tf_available
  from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, SMALL_MODEL_IDENTIFIER, RequestCounter, require_tensorflow_probability, require_tf, slow
  from ..bert.test_modeling_bert import BertModelTester
label_desc: Use image node_id 18 for calling the TFAutoModelTest obj's underlying member method code with example usage: obj.test_cached_model_has_minimum_calls_to_head() without return types