Fix the final "```"

README.md

@@ -39,7 +39,7 @@ model = Wav2Vec2ForCTC.from_pretrained("Marxav/wav2vec2-large-xlsr-53-breton")
 
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 
-chars_to_ignore_regex = '[\\\\,\\,\\?\\.\\!\\;\\:\\"\\“\\%\\”\\�\\(\\)\\/\\«\\»\\½\\…]'
+chars_to_ignore_regex = '[\\\\\\\\,\\\\,\\\\?\\\\.\\\\!\\\\;\\\\:\\\\"\\\\“\\\\%\\\\”\\\\�\\\\(\\\\)\\\\/\\\\«\\\\»\\\\½\\\\…]'
 
 # Preprocessing the datasets.
 # We need to read the audio files as arrays
@@ -67,7 +67,7 @@ print("Reference:", test_dataset["sentence"][:nb_samples])
 ```
 The above code leads to the following prediction for the first two samples:
 * Prediction: ["nel ler ket dont abenn eus netra la vez ser mirc'hid evel sij", 'an eil hag egile']
-* Reference: ['"N\\\\'haller ket dont a-benn eus netra pa vezer nec\\\\'het evel-se."', 'An eil hag egile.']
+* Reference: ['"N\\\\\\\\'haller ket dont a-benn eus netra pa vezer nec\\\\\\\\'het evel-se."', 'An eil hag egile.']
 
 The model can be evaluated as follows on the {language} test data of Common Voice.
 ```python
@@ -85,7 +85,7 @@ processor = Wav2Vec2Processor.from_pretrained('Marxav/wav2vec2-large-xlsr-53-bre
 model = Wav2Vec2ForCTC.from_pretrained('Marxav/wav2vec2-large-xlsr-53-breton2')
 model.to("cuda")
 
-chars_to_ignore_regex = '[\\\\,\\,\\?\\.\\!\\;\\:\\"\\“\\%\\”\\�\\(\\)\\/\\«\\»\\½\\…]'
+chars_to_ignore_regex = '[\\\\\\\\,\\\\,\\\\?\\\\.\\\\!\\\\;\\\\:\\\\"\\\\“\\\\%\\\\”\\\\�\\\\(\\\\)\\\\/\\\\«\\\\»\\\\½\\\\…]'
 
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 
@@ -119,4 +119,5 @@ def evaluate(batch):
 
 result = test_dataset.map(evaluate, batched=True, batch_size=8)
 
-print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
+print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
+```