gchhablani
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wav2vec2-large-xlsr-hu

Automatic Speech Recognition

xlsr-fine-tuning-week

Inference Endpoints

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gchhablani commited on Mar 25, 2021

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@@ -17,7 +17,7 @@ model-index:
       name: Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: Common Voice pt
       type: common_voice
       args: hu
     metrics:
@@ -87,7 +87,7 @@ processor = Wav2Vec2Processor.from_pretrained("gchhablani/wav2vec2-large-xlsr-hu
 model = Wav2Vec2ForCTC.from_pretrained("gchhablani/wav2vec2-large-xlsr-hu")
 model.to("cuda")
-chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\%\‘\”\�\–\…]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 # Preprocessing the datasets.

       name: Speech Recognition
       type: automatic-speech-recognition
     dataset:
+      name: Common Voice hu
       type: common_voice
       args: hu
     metrics:
 model = Wav2Vec2ForCTC.from_pretrained("gchhablani/wav2vec2-large-xlsr-hu")
 model.to("cuda")
+chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\“\\%\\‘\\”\\�\\–\\…]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 # Preprocessing the datasets.