MehdiHosseiniMoghadam
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wav2vec2-large-xlsr-53-Dutch

Automatic Speech Recognition Transformers PyTorch JAX

Dutch wav2vec2 audio speech xlsr-fine-tuning-week Eval Results Inference Endpoints

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MehdiHosseiniMoghadam commited on Mar 24, 2021

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@@ -106,7 +106,7 @@ print("Reference:", test_dataset["sentence"][:2])
 ## Evaluation
-The model can be evaluated as follows on the Swedish test data of Common Voice.
 ```python
@@ -130,7 +130,7 @@ model = Wav2Vec2ForCTC.from_pretrained("MehdiHosseiniMoghadam/wav2vec2-large-xls
 model.to("cuda")
-chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)

 ## Evaluation
+The model can be evaluated as follows on the Dutch test data of Common Voice.
 ```python
 model.to("cuda")
+chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\“]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)