Docstring fixup

src/transformers/models/idefics2/processing_idefics2.py

@@ -57,8 +57,7 @@ class Idefics2Processor(ProcessorMixin):
             This parameter is used to build the string from the input prompt and image tokens and should match the
             config.perceiver_config.resampler_n_latents value for the model used.
         chat_template (`str`, *optional*): A Jinja template which will be used to convert lists of messages
-            in a chat into a tokenizable string. This argument is optional, and only relevant to processors that support
-            chat inputs.
+            in a chat into a tokenizable string.
     """
 
     attributes = ["image_processor", "tokenizer"]

src/transformers/models/llava/processing_llava.py

@@ -37,6 +37,8 @@ class LlavaProcessor(ProcessorMixin):
             The image processor is a required input.
         tokenizer ([`LlamaTokenizerFast`], *optional*):
             The tokenizer is a required input.
+        chat_template (`str`, *optional*): A Jinja template which will be used to convert lists of messages
+            in a chat into a tokenizable string.
     """
 
     attributes = ["image_processor", "tokenizer"]

src/transformers/models/llava_next/processing_llava_next.py

@@ -37,6 +37,8 @@ class LlavaNextProcessor(ProcessorMixin):
             The image processor is a required input.
         tokenizer ([`LlamaTokenizerFast`], *optional*):
             The tokenizer is a required input.
+        chat_template (`str`, *optional*): A Jinja template which will be used to convert lists of messages
+            in a chat into a tokenizable string.
     """
 
     attributes = ["image_processor", "tokenizer"]