vasilis
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wav2vec2-large-xlsr-53-swedish

Automatic Speech Recognition

xlsr-fine-tuning-week

Inference Endpoints

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vasilis commited on Mar 27, 2021

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14f3e0f

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1 Parent(s): 2d1351c

fix chars

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README.md +1 -1

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@@ -92,7 +92,7 @@ processor = Wav2Vec2Processor.from_pretrained("vasilis/wav2vec2-large-xlsr-53-sw
 model = Wav2Vec2ForCTC.from_pretrained("vasilis/wav2vec2-large-xlsr-53-swedish") #TODO: replace {model_id} with your model id. The model id consists of {your_username}/{your_modelname}, *e.g.* `elgeish/wav2vec2-large-xlsr-53-arabic`
 model.to("cuda")
-chars_to_ignore_regex = "[\,\?\.\!\-\;\:\"\â€œ\%\â€˜\â€\ï¿½\']"  # TODO: adapt this list to include all special characters you removed from the data
 resampler = {
     48_000: torchaudio.transforms.Resample(48_000, 16_000),

 model = Wav2Vec2ForCTC.from_pretrained("vasilis/wav2vec2-large-xlsr-53-swedish") #TODO: replace {model_id} with your model id. The model id consists of {your_username}/{your_modelname}, *e.g.* `elgeish/wav2vec2-large-xlsr-53-arabic`
 model.to("cuda")
+chars_to_ignore_regex = "[\,\?\.\!\-\;\:\"\“\%\‘\”\�\']"  # TODO: adapt this list to include all special characters you removed from the data
 resampler = {
     48_000: torchaudio.transforms.Resample(48_000, 16_000),