Marxav commited on
Commit
0df6f44
1 Parent(s): 27f961c

Fix double backslashs

Browse files
Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -39,7 +39,7 @@ model = Wav2Vec2ForCTC.from_pretrained("Marxav/wav2vec2-large-xlsr-53-breton")
39
 
40
  resampler = torchaudio.transforms.Resample(48_000, 16_000)
41
 
42
- chars_to_ignore_regex = '[\\\\\\\\,\\\\,\\\\?\\\\.\\\\!\\\\;\\\\:\\\\"\\\\“\\\\%\\\\”\\\\�\\\\(\\\\)\\\\/\\\\«\\\\»\\\\½\\\\…]'
43
 
44
  # Preprocessing the datasets.
45
  # We need to read the audio files as arrays
@@ -67,7 +67,7 @@ print("Reference:", test_dataset["sentence"][:nb_samples])
67
  ```
68
  The above code leads to the following prediction for the first two samples:
69
  * Prediction: ["nel ler ket dont abenn eus netra la vez ser mirc'hid evel sij", 'an eil hag egile']
70
- * Reference: ['"N\\\\\\\\'haller ket dont a-benn eus netra pa vezer nec\\\\\\\\'het evel-se."', 'An eil hag egile.']
71
 
72
  The model can be evaluated as follows on the {language} test data of Common Voice.
73
  ```python
@@ -85,7 +85,7 @@ processor = Wav2Vec2Processor.from_pretrained('Marxav/wav2vec2-large-xlsr-53-bre
85
  model = Wav2Vec2ForCTC.from_pretrained('Marxav/wav2vec2-large-xlsr-53-breton2')
86
  model.to("cuda")
87
 
88
- chars_to_ignore_regex = '[\\\\\\\\,\\\\,\\\\?\\\\.\\\\!\\\\;\\\\:\\\\"\\\\“\\\\%\\\\”\\\\�\\\\(\\\\)\\\\/\\\\«\\\\»\\\\½\\\\…]'
89
 
90
  resampler = torchaudio.transforms.Resample(48_000, 16_000)
91
 
 
39
 
40
  resampler = torchaudio.transforms.Resample(48_000, 16_000)
41
 
42
+ chars_to_ignore_regex = '[\\,\,\?\.\!\;\:\"\“\%\”\�\(\)\/\«\»\½\…]'
43
 
44
  # Preprocessing the datasets.
45
  # We need to read the audio files as arrays
 
67
  ```
68
  The above code leads to the following prediction for the first two samples:
69
  * Prediction: ["nel ler ket dont abenn eus netra la vez ser mirc'hid evel sij", 'an eil hag egile']
70
+ * Reference: ["N'haller ket dont a-benn eus netra pa vezer nec'het evel-se ", 'An eil hag egile ']
71
 
72
  The model can be evaluated as follows on the {language} test data of Common Voice.
73
  ```python
 
85
  model = Wav2Vec2ForCTC.from_pretrained('Marxav/wav2vec2-large-xlsr-53-breton2')
86
  model.to("cuda")
87
 
88
+ chars_to_ignore_regex = '[\\,\,\?\.\!\;\:\"\“\%\”\�\(\)\/\«\»\½\…]'
89
 
90
  resampler = torchaudio.transforms.Resample(48_000, 16_000)
91