bofenghuang
/

wav2vec2-xls-r-1b-cv9-fr

Automatic Speech Recognition

mozilla-foundation/common_voice_9_0

Generated from Trainer

hf-asr-leaderboard

robust-speech-event

Inference Endpoints

Model card Files Files and versions Community

bofenghuang commited on Oct 7, 2022

Commit

6dbf4c2

•

1 Parent(s): fe8883a

updt README.md

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README.md +2 -2

README.md CHANGED Viewed

@@ -76,7 +76,7 @@ processor = Wav2Vec2Processor.from_pretrained("bhuang/wav2vec2-xls-r-1b-cv9-fr")
 model = AutoModelForCTC.from_pretrained("bhuang/wav2vec2-xls-r-1b-cv9-fr").cuda()
 # path to your audio file
-wav_path = "/projects/bhuang/corpus/speech/multilingual-tedx/fr-fr/flac/09UU0I9gLNc_0.flac"
 waveform, sample_rate = torchaudio.load(wav_path)
 waveform = waveform.squeeze(axis=0)  # mono
@@ -110,7 +110,7 @@ model = AutoModelForCTC.from_pretrained("bhuang/wav2vec2-xls-r-1b-cv9-fr").cuda(
 model_sampling_rate = processor_with_lm.feature_extractor.sampling_rate
 # path to your audio file
-wav_path = "/projects/bhuang/corpus/speech/multilingual-tedx/fr-fr/flac/09UU0I9gLNc_0.flac"
 waveform, sample_rate = torchaudio.load(wav_path)
 waveform = waveform.squeeze(axis=0)  # mono

 model = AutoModelForCTC.from_pretrained("bhuang/wav2vec2-xls-r-1b-cv9-fr").cuda()
 # path to your audio file
+wav_path = "example.wav"
 waveform, sample_rate = torchaudio.load(wav_path)
 waveform = waveform.squeeze(axis=0)  # mono
 model_sampling_rate = processor_with_lm.feature_extractor.sampling_rate
 # path to your audio file
+wav_path = "example.wav"
 waveform, sample_rate = torchaudio.load(wav_path)
 waveform = waveform.squeeze(axis=0)  # mono