stefan-it
/

wav2vec2-large-xlsr-53-basque

Automatic Speech Recognition Transformers PyTorch

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

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patrickvonplaten commited on Mar 29, 2021

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@@ -17,7 +17,7 @@ model-index:
     dataset:
       name: Common Voice eu
       type: common_voice
-      args: es
     metrics:
        - name: Test WER
          type: wer
@@ -104,7 +104,7 @@ model = Wav2Vec2ForCTC.from_pretrained("stefan-it/wav2vec2-large-xlsr-53-basque"
 model.to("cuda")
-chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\“\\%\\‘\\”\\�]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)

     dataset:
       name: Common Voice eu
       type: common_voice
+      args: eu
     metrics:
        - name: Test WER
          type: wer
 model.to("cuda")
+chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“\\\\%\\\\‘\\\\”\\\\�]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)