Removing warning of model type for `microsoft/tapex-base-finetuned-wtq` (#18711)

and friends.

src/transformers/pipelines/table_question_answering.py

@@ -16,14 +16,20 @@ from .base import PIPELINE_INIT_ARGS, ArgumentHandler, Dataset, Pipeline, Pipeli
 if is_torch_available():
     import torch
 
-    from ..models.auto.modeling_auto import MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING
+    from ..models.auto.modeling_auto import (
+        MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
+        MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
+    )
 
 if is_tf_available() and is_tensorflow_probability_available():
     import tensorflow as tf
 
     import tensorflow_probability as tfp
 
-    from ..models.auto.modeling_tf_auto import TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING
+    from ..models.auto.modeling_tf_auto import (
+        TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
+        TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
+    )
 
 
 class TableQuestionAnsweringArgumentHandler(ArgumentHandler):
@@ -100,9 +106,14 @@ class TableQuestionAnsweringPipeline(Pipeline):
         self._args_parser = args_parser
 
         self.check_model_type(
-            TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING
+            dict(
+                TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING.items()
+                + TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING.items()
+            )
             if self.framework == "tf"
-            else MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING
+            else dict(
+                MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING.items() + MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING.items()
+            )
         )
 
         self.aggregate = bool(getattr(self.model.config, "aggregation_labels", None)) and bool(