Repository: huggingface/transformers
Pull request: Fix missing fast tokenizer/image_processor in whisper/qwen2.5-omni processor

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Fixes https://github.com/vllm-project/vllm/issues/20224
- Fix missing `WhisperTokenizerFast` in whisper processor


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- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
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Changed files:
filename: src/transformers/models/qwen2_5_omni/processing_qwen2_5_omni.py
patch: @@ -93,8 +93,8 @@ class Qwen2_5OmniProcessor(ProcessorMixin):
     """
 
     attributes = ["image_processor", "video_processor", "feature_extractor", "tokenizer"]
-    image_processor_class = "Qwen2VLImageProcessor"
-    video_processor_class = "Qwen2VLVideoProcessor"
+    image_processor_class = "AutoImageProcessor"
+    video_processor_class = "AutoVideoProcessor"
     feature_extractor_class = "WhisperFeatureExtractor"
     tokenizer_class = ("Qwen2Tokenizer", "Qwen2TokenizerFast")
 

filename: src/transformers/models/whisper/processing_whisper.py
patch: @@ -35,7 +35,7 @@ class WhisperProcessor(ProcessorMixin):
     """
 
     feature_extractor_class = "WhisperFeatureExtractor"
-    tokenizer_class = "WhisperTokenizer"
+    tokenizer_class = ("WhisperTokenizer", "WhisperTokenizerFast")
 
     def __init__(self, feature_extractor, tokenizer):
         super().__init__(feature_extractor, tokenizer)

filename: tests/models/whisper/test_processor_whisper.py
patch: @@ -19,7 +19,7 @@
 import numpy as np
 import pytest
 
-from transformers import WhisperTokenizer, is_speech_available
+from transformers import WhisperTokenizer, WhisperTokenizerFast, is_speech_available
 from transformers.testing_utils import require_sentencepiece, require_torch, require_torchaudio
 
 from .test_feature_extraction_whisper import floats_list
@@ -60,7 +60,7 @@ def test_save_load_pretrained_default(self):
         processor = WhisperProcessor.from_pretrained(self.tmpdirname)
 
         self.assertEqual(processor.tokenizer.get_vocab(), tokenizer.get_vocab())
-        self.assertIsInstance(processor.tokenizer, WhisperTokenizer)
+        self.assertIsInstance(processor.tokenizer, WhisperTokenizerFast)
 
         self.assertEqual(processor.feature_extractor.to_json_string(), feature_extractor.to_json_string())
         self.assertIsInstance(processor.feature_extractor, WhisperFeatureExtractor)
@@ -77,7 +77,7 @@ def test_save_load_pretrained_additional_features(self):
         )
 
         self.assertEqual(processor.tokenizer.get_vocab(), tokenizer_add_kwargs.get_vocab())
-        self.assertIsInstance(processor.tokenizer, WhisperTokenizer)
+        self.assertIsInstance(processor.tokenizer, WhisperTokenizerFast)
 
         self.assertEqual(processor.feature_extractor.to_json_string(), feature_extractor_add_kwargs.to_json_string())
         self.assertIsInstance(processor.feature_extractor, WhisperFeatureExtractor)