Expose get_config() on ModelTesters (#12812)

* Expose get_config() on ModelTesters

* Typo

tests/test_modeling_hubert.py

@@ -21,7 +21,7 @@ import unittest
 import pytest
 
 from tests.test_modeling_common import floats_tensor, ids_tensor, random_attention_mask
-from transformers import is_torch_available
+from transformers import HubertConfig, is_torch_available
 from transformers.testing_utils import require_datasets, require_soundfile, require_torch, slow, torch_device
 
 from .test_configuration_common import ConfigTester
@@ -31,7 +31,7 @@ from .test_modeling_common import ModelTesterMixin, _config_zero_init
 if is_torch_available():
     import torch
 
-    from transformers import HubertConfig, HubertForCTC, HubertModel, Wav2Vec2Processor
+    from transformers import HubertForCTC, HubertModel, Wav2Vec2Processor
     from transformers.models.hubert.modeling_hubert import _compute_mask_indices
 
 
@@ -98,7 +98,12 @@ class HubertModelTester:
         input_values = floats_tensor([self.batch_size, self.seq_length], self.vocab_size)
         attention_mask = random_attention_mask([self.batch_size, self.seq_length])
 
-        config = HubertConfig(
+        config = self.get_config()
+
+        return config, input_values, attention_mask
+
+    def get_config(self):
+        return HubertConfig(
             hidden_size=self.hidden_size,
             feat_extract_norm=self.feat_extract_norm,
             feat_extract_dropout=self.feat_extract_dropout,
@@ -119,8 +124,6 @@ class HubertModelTester:
             vocab_size=self.vocab_size,
         )
 
-        return config, input_values, attention_mask
-
     def create_and_check_model(self, config, input_values, attention_mask):
         model = HubertModel(config=config)
         model.to(torch_device)