CI: avoid human error, automatically infer generative models (#33212)

* tmp commit

* move tests to the right class

* remove ALL all_generative_model_classes = ...

* skip tf roberta

* skip InstructBlipForConditionalGenerationDecoderOnlyTest

* videollava

* reduce diff

* reduce diff

* remove  on vlms

* fix a few more

* manual rebase bits

* more manual rebase

* remove all manual generative model class test entries

* fix up to ernie

* a few more removals

* handle remaining cases

* recurrent gemma

* it's better here

* make fixup

* tf idefics is broken

* tf bert + generate is broken

* don't touch tf :()

* don't touch tf :(

* make fixup

* better comments for test skips

* revert tf changes

* remove empty line removal

* one more

* missing one

tests/models/seamless_m4t/test_modeling_seamless_m4t.py

@@ -358,7 +358,6 @@ class SeamlessM4TModelWithSpeechInputTest(ModelTesterMixin, unittest.TestCase):
         if is_torch_available()
         else ()
     )
-    all_generative_model_classes = (SeamlessM4TForSpeechToText,) if is_torch_available() else ()
 
     def setUp(self):
         self.model_tester = SeamlessM4TModelTester(self, input_modality="speech")
@@ -602,7 +601,8 @@ class SeamlessM4TModelWithTextInputTest(
         if is_torch_available()
         else ()
     )
-    all_generative_model_classes = (SeamlessM4TForTextToText,) if is_torch_available() else ()
+    # Doesn't run generation tests. Has custom generation method with a different interface
+    all_generative_model_classes = ()
     pipeline_model_mapping = (
         {
             "automatic-speech-recognition": SeamlessM4TForSpeechToText,