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whisper-large-v3

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I set my pipeline like this.

    beam_width = 5
    pipe = pipeline(
        "automatic-speech-recognition",
        model=model,
        tokenizer=processor.tokenizer,
        feature_extractor=processor.feature_extractor,
        torch_dtype=torch_dtype,
        device=device,
        generate_kwargs={"num_beams": beam_width, "num_return_sequences": beam_width}
    )

It does take me more time and storage on inference, but returned only one result