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    | @@ -27,7 +27,7 @@ The model uses an ASR model trained on LibriSpeech ([`speechbrain/asr-crdnn-rnnl | |
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            You can try the model on the `example_fsc.wav` file included here as follows:
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            ```python
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            from speechbrain. | 
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            slu = EndToEndSLU.from_hparams("speechbrain/slu-direct-fluent-speech-commands-librispeech-asr")
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            # Text: "Please, turn on the light of the bedroom"
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            slu.decode_file("speechbrain/slu-direct-fluent-speech-commands-librispeech-asr/example_fsc.wav")
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            You can try the model on the `example_fsc.wav` file included here as follows:
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            ```python
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            from speechbrain.inference.SLU import EndToEndSLU
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            slu = EndToEndSLU.from_hparams("speechbrain/slu-direct-fluent-speech-commands-librispeech-asr")
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            # Text: "Please, turn on the light of the bedroom"
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            slu.decode_file("speechbrain/slu-direct-fluent-speech-commands-librispeech-asr/example_fsc.wav")
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