gchhablani
/

wav2vec2-large-xlsr-eo

Automatic Speech Recognition

xlsr-fine-tuning-week

Inference Endpoints

Model card Files Files and versions Community

patrickvonplaten commited on Mar 30, 2021

Commit

fe5c991

·

1 Parent(s): 4ce47f3

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -105,7 +105,7 @@ processor = Wav2Vec2Processor.from_pretrained('gchhablani/wav2vec2-large-xlsr-eo
 model = Wav2Vec2ForCTC.from_pretrained('gchhablani/wav2vec2-large-xlsr-eo')
 model.to("cuda")
-chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\“\\%\\‘\\”\\�\\„\\«\\(\\»\\)\\’\\']'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 # Preprocessing the datasets.

 model = Wav2Vec2ForCTC.from_pretrained('gchhablani/wav2vec2-large-xlsr-eo')
 model.to("cuda")
+chars_to_ignore_regex = """[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“\\\\%\\\\‘\\\\”\\\\�\\\\„\\\\«\\\\(\\\\»\\\\)\\\\’\\\\']"""
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 # Preprocessing the datasets.