Update README.md

README.md

@@ -64,12 +64,12 @@ from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
 import re
 test_dataset = load_dataset("common_voice", "tr", split="test") 
 wer = load_metric("wer")
-processor = Wav2Vec2Processor.from_pretrained("ozcangundes/wav2vec2-large-xlsr-53-turkish") 
-model = Wav2Vec2ForCTC.from_pretrained("ozcangundes/wav2vec2-large-xlsr-53-turkish") 
+processor = Wav2Vec2Processor.from_pretrained("gorkemgoknar/wav2vec2-large-xlsr-53-turkish") 
+model = Wav2Vec2ForCTC.from_pretrained("gorkemgoknar/wav2vec2-large-xlsr-53-turkish") 
 model.to("cuda")
 
 #Note: Not ignoring "'"  on this one 
-chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“\\\\%\\\\‘\\\\”\\\\�]'
+chars_to_ignore_regex = '[\\\\\\\\,\\\\\\\\?\\\\\\\\.\\\\\\\\!\\\\\\\\-\\\\\\\\;\\\\\\\\:\\\\\\\\"\\\\\\\\“\\\\\\\\%\\\\\\\\‘\\\\\\\\”\\\\\\\\�]'
 
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 # Preprocessing the datasets.