fix typos

Author: omahs

src/transformers/models/align/processing_align.py

@@ -83,7 +83,7 @@ def __call__(
         arguments to BertTokenizerFast's [`~BertTokenizerFast.__call__`] if `text` is not `None` to encode
         the text. To prepare the image(s), this method forwards the `images` arguments to
         EfficientNetImageProcessor's [`~EfficientNetImageProcessor.__call__`] if `images` is not `None`. Please refer
-        to the doctsring of the above two methods for more information.
+        to the docstring of the above two methods for more information.
 
         Args:
             images (`PIL.Image.Image`, `np.ndarray`, `torch.Tensor`, `List[PIL.Image.Image]`, `List[np.ndarray]`, `List[torch.Tensor]`):

src/transformers/models/altclip/processing_altclip.py

@@ -68,7 +68,7 @@ def __call__(
         Main method to prepare for the model one or several sequences(s) and image(s). This method forwards the `text`
         and `kwargs` arguments to XLMRobertaTokenizerFast's [`~XLMRobertaTokenizerFast.__call__`] if `text` is not
         `None` to encode the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/chameleon/processing_chameleon.py

@@ -87,7 +87,7 @@ def __call__(
         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
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/chinese_clip/processing_chinese_clip.py

@@ -78,7 +78,7 @@ def __call__(
         Main method to prepare for the model one or several sequences(s) and image(s). This method forwards the `text`
         and `kwargs` arguments to BertTokenizerFast's [`~BertTokenizerFast.__call__`] if `text` is not `None` to encode
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/clap/processing_clap.py

@@ -46,7 +46,7 @@ def __call__(self, text=None, audios=None, return_tensors=None, **kwargs):
         and `kwargs` arguments to RobertaTokenizerFast's [`~RobertaTokenizerFast.__call__`] if `text` is not `None` to
         encode the text. To prepare the audio(s), this method forwards the `audios` and `kwrags` arguments to
         ClapFeatureExtractor's [`~ClapFeatureExtractor.__call__`] if `audios` is not `None`. Please refer to the
-        doctsring of the above two methods for more information.
+        docstring of the above two methods for more information.
 
         Args:
             text (`str`, `List[str]`, `List[List[str]]`):

src/transformers/models/clip/processing_clip.py

@@ -63,7 +63,7 @@ def __call__(self, text=None, images=None, return_tensors=None, **kwargs):
         Main method to prepare for the model one or several sequences(s) and image(s). This method forwards the `text`
         and `kwargs` arguments to CLIPTokenizerFast's [`~CLIPTokenizerFast.__call__`] if `text` is not `None` to encode
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/clipseg/processing_clipseg.py

@@ -63,7 +63,7 @@ def __call__(self, text=None, images=None, visual_prompt=None, return_tensors=No
         Main method to prepare for the model one or several sequences(s) and image(s). This method forwards the `text`
         and `kwargs` arguments to CLIPTokenizerFast's [`~CLIPTokenizerFast.__call__`] if `text` is not `None` to encode
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        ViTImageProcessor's [`~ViTImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring of
+        ViTImageProcessor's [`~ViTImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring of
         the above two methods for more information.
 
         Args:

src/transformers/models/clvp/processing_clvp.py

@@ -48,7 +48,7 @@ def __init__(self, feature_extractor, tokenizer):
     def __call__(self, *args, **kwargs):
         """
         Forwards the `audio` and `sampling_rate` arguments to [`~ClvpFeatureExtractor.__call__`] and the `text`
-        argument to [`~ClvpTokenizer.__call__`]. Please refer to the doctsring of the above two methods for more
+        argument to [`~ClvpTokenizer.__call__`]. Please refer to the docstring of the above two methods for more
         information.
         """
 

src/transformers/models/colpali/processing_colpali.py

@@ -144,7 +144,7 @@ def __call__(
         [`~LlamaTokenizerFast.__call__`].
         When preparing the image(s), this method forwards the `images` and `kwargs` arguments to SiglipImageProcessor's
         [`~SiglipImageProcessor.__call__`].
-        Please refer to the doctsring of the above two methods for more information.
+        Please refer to the docstring of the above two methods for more information.
 
         Args:
             images (`PIL.Image.Image`, `np.ndarray`, `torch.Tensor`, `List[PIL.Image.Image]`, `List[np.ndarray]`, `List[torch.Tensor]`):

src/transformers/models/deprecated/mctct/processing_mctct.py

@@ -49,7 +49,7 @@ def __call__(self, *args, **kwargs):
         When used in normal mode, this method forwards all its arguments to MCTCTFeatureExtractor's
         [`~MCTCTFeatureExtractor.__call__`] and returns its output. If used in the context
         [`~MCTCTProcessor.as_target_processor`] this method forwards all its arguments to AutoTokenizer's
-        [`~AutoTokenizer.__call__`]. Please refer to the doctsring of the above two methods for more information.
+        [`~AutoTokenizer.__call__`]. Please refer to the docstring of the above two methods for more information.
         """
         # For backward compatibility
         if self._in_target_context_manager:

src/transformers/models/deprecated/speech_to_text_2/processing_speech_to_text_2.py

@@ -50,7 +50,7 @@ def __call__(self, *args, **kwargs):
         When used in normal mode, this method forwards all its arguments to AutoFeatureExtractor's
         [`~AutoFeatureExtractor.__call__`] and returns its output. If used in the context
         [`~Speech2Text2Processor.as_target_processor`] this method forwards all its arguments to
-        Speech2Text2Tokenizer's [`~Speech2Text2Tokenizer.__call__`]. Please refer to the doctsring of the above two
+        Speech2Text2Tokenizer's [`~Speech2Text2Tokenizer.__call__`]. Please refer to the docstring of the above two
         methods for more information.
         """
         # For backward compatibility

src/transformers/models/donut/processing_donut.py

@@ -86,7 +86,7 @@ def __call__(
         When used in normal mode, this method forwards all its arguments to AutoImageProcessor's
         [`~AutoImageProcessor.__call__`] and returns its output. If used in the context
         [`~DonutProcessor.as_target_processor`] this method forwards all its arguments to DonutTokenizer's
-        [`~DonutTokenizer.__call__`]. Please refer to the doctsring of the above two methods for more information.
+        [`~DonutTokenizer.__call__`]. Please refer to the docstring of the above two methods for more information.
         """
         # For backward compatibility
         legacy = kwargs.pop("legacy", True)

src/transformers/models/emu3/processing_emu3.py

@@ -95,7 +95,7 @@ def __call__(
         Main method to prepare for the model one or several sequences(s) and image(s). This method forwards the `text`
         and `kwargs` arguments to Emu3TokenizerFast's [`~Emu3TokenizerFast.__call__`] if `text` is not `None` to encode
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/fuyu/processing_fuyu.py

@@ -481,7 +481,7 @@ def __call__(
         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 the text. To prepare the image(s), this method forwards the `images` and `kwargs` arguments to
-        FuyuImageProcessor's [`~FuyuImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        FuyuImageProcessor's [`~FuyuImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/git/processing_git.py

@@ -66,7 +66,7 @@ def __call__(
         Main method to prepare for the model one or several sequences(s) and image(s). This method forwards the `text`
         and `kwargs` arguments to BertTokenizerFast's [`~BertTokenizerFast.__call__`] if `text` is not `None` to encode
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/llava/processing_llava.py

@@ -103,7 +103,7 @@ def __call__(
         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
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/llava_next/processing_llava_next.py

@@ -106,7 +106,7 @@ def __call__(
         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
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        LlavaNextImageProcessor's [`~LlavaNextImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        LlavaNextImageProcessor's [`~LlavaNextImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/llava_next_video/processing_llava_next_video.py

@@ -123,7 +123,7 @@ def __call__(
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
         LlavaNextImageProcessor's [`~LlavaNextImageProcessor.__call__`] if `images` is not `None`. To prepare the video(s),
         this method forwards the `videos` and `kwrags` arguments to LlavaNextVideoImageProcessor's
-        [`~LlavaNextVideoImageProcessor.__call__`] if `videos` is not `None`. Please refer to the doctsring
+        [`~LlavaNextVideoImageProcessor.__call__`] if `videos` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/llava_onevision/processing_llava_onevision.py

@@ -114,7 +114,7 @@ def __call__(
         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
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        LlavaNextImageProcessor's [`~LlavaNextImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        LlavaNextImageProcessor's [`~LlavaNextImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/mgp_str/processing_mgp_str.py

@@ -81,7 +81,7 @@ def __call__(self, text=None, images=None, return_tensors=None, **kwargs):
         When used in normal mode, this method forwards all its arguments to ViTImageProcessor's
         [`~ViTImageProcessor.__call__`] and returns its output. This method also forwards the `text` and `kwargs`
         arguments to MgpstrTokenizer's [`~MgpstrTokenizer.__call__`] if `text` is not `None` to encode the text. Please
-        refer to the doctsring of the above methods for more information.
+        refer to the docstring of the above methods for more information.
         """
         if images is None and text is None:
             raise ValueError("You need to specify either an `images` or `text` input to process.")

src/transformers/models/musicgen/processing_musicgen.py

@@ -53,7 +53,7 @@ def get_decoder_prompt_ids(self, task=None, language=None, no_timestamps=True):
     def __call__(self, *args, **kwargs):
         """
         Forwards the `audio` argument to EncodecFeatureExtractor's [`~EncodecFeatureExtractor.__call__`] and the `text`
-        argument to [`~T5Tokenizer.__call__`]. Please refer to the doctsring of the above two methods for more
+        argument to [`~T5Tokenizer.__call__`]. Please refer to the docstring of the above two methods for more
         information.
         """
         # For backward compatibility

src/transformers/models/musicgen_melody/processing_musicgen_melody.py

@@ -54,7 +54,7 @@ def __call__(self, audio=None, text=None, **kwargs):
         Main method to prepare for the model one or several sequences(s) and audio(s). This method forwards the `audio`
         and `kwargs` arguments to MusicgenMelodyFeatureExtractor's [`~MusicgenMelodyFeatureExtractor.__call__`] if `audio` is not
         `None` to pre-process the audio. It also forwards the `text` and `kwargs` arguments to
-        PreTrainedTokenizer's [`~PreTrainedTokenizer.__call__`] if `text` is not `None`. Please refer to the doctsring of the above two methods for more information.
+        PreTrainedTokenizer's [`~PreTrainedTokenizer.__call__`] if `text` is not `None`. Please refer to the docstring of the above two methods for more information.
 
         Args:
             audio (`np.ndarray`, `torch.Tensor`, `List[np.ndarray]`, `List[torch.Tensor]`):

src/transformers/models/oneformer/processing_oneformer.py

@@ -82,7 +82,7 @@ def __call__(self, images=None, task_inputs=None, segmentation_maps=None, **kwar
         `task_inputs` and `kwargs` arguments to CLIPTokenizer's [`~CLIPTokenizer.__call__`] if `task_inputs` is not
         `None` to encode. To prepare the image(s), this method forwards the `images` and `kwargs` arguments to
         OneFormerImageProcessor's [`~OneFormerImageProcessor.__call__`] if `images` is not `None`. Please refer to the
-        doctsring of the above two methods for more information.
+        docstring of the above two methods for more information.
 
         Args:
             task_inputs (`str`, `List[str]`):

src/transformers/models/owlv2/processing_owlv2.py

@@ -96,7 +96,7 @@ def __call__(
         Main method to prepare for the model one or several text(s) and image(s). This method forwards the `text` and
         `kwargs` arguments to CLIPTokenizerFast's [`~CLIPTokenizerFast.__call__`] if `text` is not `None` to encode:
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/owlvit/processing_owlvit.py

@@ -110,7 +110,7 @@ def __call__(
         Main method to prepare for the model one or several text(s) and image(s). This method forwards the `text` and
         `kwargs` arguments to CLIPTokenizerFast's [`~CLIPTokenizerFast.__call__`] if `text` is not `None` to encode:
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/paligemma/processing_paligemma.py

@@ -162,7 +162,7 @@ def __call__(
         Main method to prepare for the model one or several sequences(s) and image(s). This method forwards the `text`
         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
+        SiglipImageProcessor's [`~SiglipImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         The usage for PaliGemma fine-tuning preparation is slightly different than usual. suffix passed are suffixes to

src/transformers/models/pixtral/processing_pixtral.py

@@ -119,7 +119,7 @@ def __call__(
         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
         the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to
-        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring
+        CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/qwen2_audio/processing_qwen2_audio.py

@@ -80,7 +80,7 @@ def __call__(
         Main method to prepare for the model one or several sequences(s) and audio(s). This method forwards the `text`
         and `kwargs` arguments to Qwen2TokenizerFast's [`~Qwen2TokenizerFast.__call__`] if `text` is not `None` to encode
         the text. To prepare the audio(s), this method forwards the `audios` and `kwrags` arguments to
-        WhisperFeatureExtractor's [`~WhisperFeatureExtractor.__call__`] if `audios` is not `None`. Please refer to the doctsring
+        WhisperFeatureExtractor's [`~WhisperFeatureExtractor.__call__`] if `audios` is not `None`. Please refer to the docstring
         of the above two methods for more information.
 
         Args:

src/transformers/models/seamless_m4t/processing_seamless_m4t.py

@@ -47,7 +47,7 @@ def __call__(self, text=None, audios=None, src_lang=None, tgt_lang=None, **kwarg
         and `kwargs` arguments to SeamlessM4TTokenizerFast's [`~SeamlessM4TTokenizerFast.__call__`] if `text` is not
         `None` to encode the text. To prepare the audio(s), this method forwards the `audios` and `kwrags` arguments to
         SeamlessM4TFeatureExtractor's [`~SeamlessM4TFeatureExtractor.__call__`] if `audios` is not `None`. Please refer
-        to the doctsring of the above two methods for more information.
+        to the docstring of the above two methods for more information.
 
         Args:
             text (`str`, `List[str]`, `List[List[str]]`):