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slu-wav2vec2-ctc-MEDIA-relax

Token Classification speechbrain PyTorch
French wav2vec2 CTC hf-slu-leaderboard Eval Results
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@@ -85,7 +85,7 @@ Please notice that we encourage you to read our tutorials and learn more about
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  ### Transcribing and semantically annotating your own audio files (in French)
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  ```python
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- from speechbrain.pretrained import EncoderASR
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  asr_model = EncoderASR.from_hparams(source="speechbrain/slu-wav2vec2-ctc-MEDIA-relax", savedir="pretrained_models/slu-wav2vec2-ctc-MEDIA-relax")
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  asr_model.transcribe_file('speechbrain/slu-wav2vec2-ctc-MEDIA-relax/example-fr.wav')
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  ### Transcribing and semantically annotating your own audio files (in French)
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  ```python
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+ from speechbrain.inference.ASR import EncoderASR
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  asr_model = EncoderASR.from_hparams(source="speechbrain/slu-wav2vec2-ctc-MEDIA-relax", savedir="pretrained_models/slu-wav2vec2-ctc-MEDIA-relax")
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  asr_model.transcribe_file('speechbrain/slu-wav2vec2-ctc-MEDIA-relax/example-fr.wav')