Update tiny model summary file (#27388)

* update

* fix

---------

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

tests/models/kosmos2/test_modeling_kosmos2.py

@@ -37,6 +37,7 @@ from ...test_modeling_common import (
     ids_tensor,
     random_attention_mask,
 )
+from ...test_pipeline_mixin import PipelineTesterMixin
 
 
 if is_torch_available():
@@ -244,15 +245,26 @@ class Kosmos2ModelTester:
 
 
 @require_torch
-class Kosmos2ModelTest(ModelTesterMixin, unittest.TestCase):
+class Kosmos2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_model_classes = (Kosmos2Model, Kosmos2ForConditionalGeneration) if is_torch_available() else ()
     all_generative_model_classes = (Kosmos2ForConditionalGeneration,) if is_torch_available() else ()
+    pipeline_model_mapping = (
+        {"feature-extraction": Kosmos2Model, "image-to-text": Kosmos2ForConditionalGeneration}
+        if is_torch_available()
+        else {}
+    )
     fx_compatible = False
     test_head_masking = False
     test_pruning = False
     test_resize_embeddings = False
     test_attention_outputs = False
 
+    # TODO: `image-to-text` pipeline for this model needs Processor.
+    def is_pipeline_test_to_skip(
+        self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
+    ):
+        return pipeline_test_casse_name == "ImageToTextPipelineTests"
+
     def _prepare_for_class(self, inputs_dict, model_class, return_labels=False):
         inputs_dict = copy.deepcopy(inputs_dict)