Update tiny model information and pipeline tests (#26285)

* Update tiny model summary file

* add to pipeline tests

* revert

* fix import

* fix import

* fix

* fix

* update

* update

* update

* fix

* remove BarkModelTest

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/models/bark/test_modeling_bark.py

@@ -493,13 +493,6 @@ class BarkModelTester:
 
         self.is_training = is_training
 
-    def prepare_config_and_inputs(self):
-        # TODO: @Yoach: Preapre `inputs_dict`
-        inputs_dict = {}
-        config = self.get_config()
-
-        return config, inputs_dict
-
     def get_config(self):
         return BarkConfig.from_sub_model_configs(
             self.semantic_model_tester.get_config(),
@@ -522,22 +515,6 @@ class BarkModelTester:
 
         return config
 
-    def prepare_config_and_inputs_for_common(self):
-        # TODO: @Yoach
-        pass
-        # return config, inputs_dict
-
-
-# Need this class in oder to create tiny model for `bark`
-# TODO (@Yoach) Implement actual test methods
-@unittest.skip("So far all tests will fail.")
-class BarkModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
-    all_model_classes = (BarkModel,) if is_torch_available() else ()
-
-    def setUp(self):
-        self.model_tester = BarkModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=BarkConfig, n_embd=37)
-
 
 @require_torch
 class BarkSemanticModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):