fix doctrings idefics

src/transformers/models/idefics/processing_idefics.py

@@ -259,6 +259,9 @@ def __call__(
             text (`Union[List[TextInput], [List[List[TextInput]]]]`):
                 either a single prompt or a batched list of prompts - see the detailed description immediately after
                 the end of the arguments doc section.
+            return_tensors (`str` or `TensorType`, *optional*, defaults to `TensorType.PYTORCH`):
+                The type of tensors to return. Can be one of:
+                    - `TensorType.PYTORCH` or `'pt'`: Return a batch of type `torch.Tensor`.
 
         Returns:
             a dict with entries: `input_ids`, `attention_mask`, `pixel_values`, `image_attention_mask` which can be

src/transformers/models/idefics2/processing_idefics2.py

@@ -167,6 +167,9 @@ def __call__(
 
                 Wherever an image token, `<image>` is encountered it is expanded to
                 `<fake_token_around_image>` + `<image>` * `image_seq_len` * <fake_token_around_image>`.
+            return_tensors (`Union[str, TensorType]`, *optional*):
+                If set, will return tensors of a particular framework. See [`PreTrainedTokenizerFast.__call__`] for more
+                information.
 
         """
         if text is None and images is None: