Update README.md

README.md

@@ -82,12 +82,12 @@ import re
 test_dataset = load_dataset("common_voice", "tr", split="test")
 wer = load_metric("wer")
 
-processor = Wav2Vec2Processor.from_pretrained("ceyda/wav2vec2-large-xlsr-turkish")
-model = Wav2Vec2ForCTC.from_pretrained("ceyda/wav2vec2-large-xlsr-turkish")
+processor = Wav2Vec2Processor.from_pretrained("ceyda/wav2vec2-large-xlsr-53-turkish")
+model = Wav2Vec2ForCTC.from_pretrained("ceyda/wav2vec2-large-xlsr-53-turkish")
 model.to("cuda")
 
-# chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\“]'
-chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\“\\%\\‘\\”\\�\\'\\`]'
+# chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“]'
+chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“\\\\%\\\\‘\\\\”\\\\�\\\\'\\\\`]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 
 # Preprocessing the datasets.