cpierse
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wav2vec2-large-xlsr-53-esperanto

Automatic Speech Recognition

xlsr-fine-tuning-week

Inference Endpoints

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cpierse commited on Mar 28, 2021

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@@ -103,7 +103,7 @@ processor = Wav2Vec2Processor.from_pretrained("cpierse/wav2vec2-large-xlsr-53-es
 model = Wav2Vec2ForCTC.from_pretrained("cpierse/wav2vec2-large-xlsr-53-esperanto")
 model.to("cuda")
-chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“\\\\%\\\\‘\\\\”\\\\�\\\\„\\\\«\\\\(\\\\»\\\\)\\\\’\\\\']'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 # Preprocessing the datasets.

 model = Wav2Vec2ForCTC.from_pretrained("cpierse/wav2vec2-large-xlsr-53-esperanto")
 model.to("cuda")
+chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\%\‘\”\�\„\«\(\»\)\’\']'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 # Preprocessing the datasets.