Update README.md

README.md

@@ -66,7 +66,7 @@ print("Reference:", test_dataset["sentence"][:2])
 
 Evaluation
 The model can be evaluated as follows on the Welsh test data of Common Voice.
-```
+```python
 import torch
 import torchaudio
 from datasets import load_dataset, load_metric
@@ -82,7 +82,7 @@ model = Wav2Vec2ForCTC.from_pretrained("Srulikbdd/Wav2vec2-large-xlsr-welsh")
 
 model.to("cuda")
 
-chars_to_ignore_regex = '[\\\\\\\\,\\\\\\\\?\\\\\\\\.\\\\\\\\!\\\\\\\\-\\\\\\\\u2013\\\\\\\\u2014\\\\\\\\;\\\\\\\\:\\\\\\\\"\\\\\\\\\\\\\\\\%\\\\\\\\\\\\\\\\\\\\\\\\]' 
+chars_to_ignore_regex = '[\\\\\\\\\\\\\\\\,\\\\\\\\\\\\\\\\?\\\\\\\\\\\\\\\\.\\\\\\\\\\\\\\\\!\\\\\\\\\\\\\\\\-\\\\\\\\\\\\\\\\u2013\\\\\\\\\\\\\\\\u2014\\\\\\\\\\\\\\\\;\\\\\\\\\\\\\\\\:\\\\\\\\\\\\\\\\"\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\%\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\]' 
 
 resampler = torchaudio.transforms.Resample(48_000, 16_000)