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/bros/test_modeling_bros.py

@@ -22,6 +22,7 @@ from transformers.utils import is_torch_available
 
 from ...test_configuration_common import ConfigTester
 from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
+from ...test_pipeline_mixin import PipelineTesterMixin
 
 
 if is_torch_available():
@@ -272,7 +273,7 @@ class BrosModelTester:
 
 
 @require_torch
-class BrosModelTest(ModelTesterMixin, unittest.TestCase):
+class BrosModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     test_pruning = False
     test_torchscript = False
     test_mismatched_shapes = False
@@ -288,6 +289,18 @@ class BrosModelTest(ModelTesterMixin, unittest.TestCase):
         else ()
     )
     all_generative_model_classes = () if is_torch_available() else ()
+    pipeline_model_mapping = (
+        {"feature-extraction": BrosModel, "token-classification": BrosForTokenClassification}
+        if is_torch_available()
+        else {}
+    )
+
+    # BROS requires `bbox` in the inputs which doesn't fit into the above 2 pipelines' input formats.
+    # see https://github.com/huggingface/transformers/pull/26294
+    def is_pipeline_test_to_skip(
+        self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
+    ):
+        return True
 
     def setUp(self):
         self.model_tester = BrosModelTester(self)