bofenghuang
/

wav2vec2-xls-r-1b-voxpopuli-fr

Automatic Speech Recognition

polinaeterna/voxpopuli

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

b34da12

·

1 Parent(s): 2f4ae8e

updt README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -95,7 +95,7 @@ processor = Wav2Vec2Processor.from_pretrained("bhuang/wav2vec2-xls-r-1b-voxpopul
 model = AutoModelForCTC.from_pretrained("bhuang/wav2vec2-xls-r-1b-voxpopuli-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
@@ -129,7 +129,7 @@ model = AutoModelForCTC.from_pretrained("bhuang/wav2vec2-xls-r-1b-voxpopuli-fr")
 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-voxpopuli-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