Update `huggingface_hub` version (#21212)

* update huggingface_hub version

* revert changes in setup.py
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py

@@ -156,10 +156,10 @@ class Wav2Vec2ProcessorWithLM(ProcessorMixin):
             # make sure that only relevant filenames are downloaded
             language_model_filenames = os.path.join(BeamSearchDecoderCTC._LANGUAGE_MODEL_SERIALIZED_DIRECTORY, "*")
             alphabet_filename = BeamSearchDecoderCTC._ALPHABET_SERIALIZED_FILENAME
-            allow_regex = [language_model_filenames, alphabet_filename]
+            allow_patterns = [language_model_filenames, alphabet_filename]
 
             decoder = BeamSearchDecoderCTC.load_from_hf_hub(
-                pretrained_model_name_or_path, allow_regex=allow_regex, **kwargs
+                pretrained_model_name_or_path, allow_patterns=allow_patterns, **kwargs
             )
 
         # set language model attributes

src/transformers/pipelines/__init__.py

@@ -849,8 +849,8 @@ def pipeline(
                             BeamSearchDecoderCTC._LANGUAGE_MODEL_SERIALIZED_DIRECTORY, "*"
                         )
                         alphabet_filename = BeamSearchDecoderCTC._ALPHABET_SERIALIZED_FILENAME
-                        allow_regex = [language_model_glob, alphabet_filename]
-                        decoder = BeamSearchDecoderCTC.load_from_hf_hub(model_name, allow_regex=allow_regex)
+                        allow_patterns = [language_model_glob, alphabet_filename]
+                        decoder = BeamSearchDecoderCTC.load_from_hf_hub(model_name, allow_patterns=allow_patterns)
 
                     kwargs["decoder"] = decoder
                 except ImportError as e: