iarfmoose
/

wav2vec2-large-xlsr-sorbian

Automatic Speech Recognition

xlsr-fine-tuning-week

Inference Endpoints

Model card Files Files and versions Community

patrickvonplaten commited on Mar 29, 2021

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78168e1

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1 Parent(s): 9fc12aa

Update README.md

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@@ -17,7 +17,7 @@ model-index:
     dataset:
       name: Common Voice hsb
       type: common_voice
-      args: {lang_id}
     metrics:
        - name: Test WER
          type: wer
@@ -84,7 +84,7 @@ processor = Wav2Vec2Processor.from_pretrained("iarfmoose/wav2vec2-large-xlsr-sor
 model = Wav2Vec2ForCTC.from_pretrained("iarfmoose/wav2vec2-large-xlsr-sorbian")
 model.to("cuda")
-chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“\\\\%\\\\‘\\\\”\\\\�\\\\–\\\\—\\\\¬\\\\⅛]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 def speech_file_to_array_fn(batch):

     dataset:
       name: Common Voice hsb
       type: common_voice
+      args: hsb
     metrics:
        - name: Test WER
          type: wer
 model = Wav2Vec2ForCTC.from_pretrained("iarfmoose/wav2vec2-large-xlsr-sorbian")
 model.to("cuda")
+chars_to_ignore_regex = '[\\\\\\\\,\\\\\\\\?\\\\\\\\.\\\\\\\\!\\\\\\\\-\\\\\\\\;\\\\\\\\:\\\\\\\\"\\\\\\\\“\\\\\\\\%\\\\\\\\‘\\\\\\\\”\\\\\\\\�\\\\\\\\–\\\\\\\\—\\\\\\\\¬\\\\\\\\⅛]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 def speech_file_to_array_fn(batch):