Fix t5 error message (#12136)

* Fix t5 error message

* Fix again

src/transformers/models/t5/modeling_t5.py

@@ -881,7 +881,7 @@ class T5Stack(T5PreTrainedModel):
         if input_ids is not None and inputs_embeds is not None:
             err_msg_prefix = "decoder_" if self.is_decoder else ""
             raise ValueError(
-                f"You cannot specify both {err_msg_prefix}inputs and {err_msg_prefix}inputs_embeds at the same time"
+                f"You cannot specify both {err_msg_prefix}input_ids and {err_msg_prefix}inputs_embeds at the same time"
             )
         elif input_ids is not None:
             input_shape = input_ids.size()
@@ -890,7 +890,7 @@ class T5Stack(T5PreTrainedModel):
             input_shape = inputs_embeds.size()[:-1]
         else:
             err_msg_prefix = "decoder_" if self.is_decoder else ""
-            raise ValueError(f"You have to specify either {err_msg_prefix}inputs or {err_msg_prefix}inputs_embeds")
+            raise ValueError(f"You have to specify either {err_msg_prefix}input_ids or {err_msg_prefix}inputs_embeds")
 
         if inputs_embeds is None:
             assert self.embed_tokens is not None, "You have to initialize the model with valid token embeddings"

src/transformers/models/t5/modeling_tf_t5.py

@@ -625,7 +625,7 @@ class TFT5MainLayer(tf.keras.layers.Layer):
         if inputs["input_ids"] is not None and inputs["inputs_embeds"] is not None:
             err_msg_prefix = "decoder_" if self.is_decoder else ""
             raise ValueError(
-                f"You cannot specify both {err_msg_prefix}inputs and {err_msg_prefix}inputs_embeds at the same time"
+                f"You cannot specify both {err_msg_prefix}input_ids and {err_msg_prefix}inputs_embeds at the same time"
             )
         elif inputs["input_ids"] is not None:
             input_shape = shape_list(inputs["input_ids"])
@@ -634,7 +634,7 @@ class TFT5MainLayer(tf.keras.layers.Layer):
             input_shape = shape_list(inputs["inputs_embeds"])[:-1]
         else:
             err_msg_prefix = "decoder_" if self.is_decoder else ""
-            raise ValueError(f"You have to specify either {err_msg_prefix}inputs or {err_msg_prefix}inputs_embeds")
+            raise ValueError(f"You have to specify either {err_msg_prefix}input_ids or {err_msg_prefix}inputs_embeds")
 
         if inputs["inputs_embeds"] is None:
             assert self.embed_tokens is not None, "You have to initialize the model with valid token embeddings"