From 3a4ced9ab4ded142638b7fa10e31b18710286f1a Mon Sep 17 00:00:00 2001
From: Alvaro Bartolome <36760800+alvarobartt@users.noreply.github.com>
Date: Mon, 23 Dec 2024 16:22:04 +0100
Subject: [PATCH] Fix typing in docstring for `PaliGemmaProcessor` (#35278)

Updated typing for `tokenizer` in the `PaliGemmaProcessor` to be `GemmaTokenizerFast` instead of `LlamaTokenizerFast`
---
 src/transformers/models/paligemma/processing_paligemma.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/src/transformers/models/paligemma/processing_paligemma.py b/src/transformers/models/paligemma/processing_paligemma.py
index 5783308f831..e6fcfd37bcc 100644
--- a/src/transformers/models/paligemma/processing_paligemma.py
+++ b/src/transformers/models/paligemma/processing_paligemma.py
@@ -127,13 +127,13 @@ class PaliGemmaProcessor(ProcessorMixin):
     r"""
     Constructs a PaliGemma processor which wraps a PaliGemma image processor and a PaliGemma tokenizer into a single processor.
 
-    [`PaliGemmaProcessor`] offers all the functionalities of [`SiglipImageProcessor`] and [`LlamaTokenizerFast`]. See the
+    [`PaliGemmaProcessor`] offers all the functionalities of [`SiglipImageProcessor`] and [`GemmaTokenizerFast`]. See the
     [`~PaliGemmaProcessor.__call__`] and [`~PaliGemmaProcessor.decode`] for more information.
 
     Args:
         image_processor ([`SiglipImageProcessor`], *optional*):
             The image processor is a required input.
-        tokenizer ([`LlamaTokenizerFast`], *optional*):
+        tokenizer ([`GemmaTokenizerFast`], *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.
@@ -184,7 +184,7 @@ class PaliGemmaProcessor(ProcessorMixin):
     ) -> BatchFeature:
         """
         Main method to prepare for the model one or several sequences(s) and image(s). This method forwards the `text`
-        and `kwargs` arguments to LlamaTokenizerFast's [`~LlamaTokenizerFast.__call__`] if `text` is not `None` to encode
+        and `kwargs` arguments to GemmaTokenizerFast's [`~GemmaTokenizerFast.__call__`] if `text` is not `None` to encode
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
         SiglipImageProcessor's [`~SiglipImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
         of the above two methods for more information.