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app.py
CHANGED
@@ -117,16 +117,16 @@ if __name__ == "__main__":
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gr.HTML(
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f"""
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-
<a href="https://huggingface.co/distil-whisper/distil-large-v2"> Distil-Whisper</a> is a distilled variant
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of the <a href="https://huggingface.co/openai/whisper-large-v2"> Whisper</a> model by OpenAI. Compared to Whisper,
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Distil-Whisper runs 6x faster with 50% fewer parameters, while performing to within 1% word error rate (WER) on
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out-of-distribution evaluation data
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In this demo, we perform a speed comparison between Whisper and Distil-Whisper in order to test this claim.
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Both models use the <a href="https://huggingface.co/distil-whisper/distil-large-v2#long-form-transcription"> chunked long-form transcription algorithm</a>
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in 🤗 Transformers, as well as Flash Attention. To use Distil-Whisper yourself, check the code examples on the
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<a href="https://github.com/huggingface/distil-whisper#1-usage"> Distil-Whisper repository</a>. To ensure fair
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usage of the Space, we ask that audio file inputs are kept to < 30 mins
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"""
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)
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audio = gr.components.Audio(type="filepath", label="Audio input")
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)
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gr.HTML(
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f"""
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+
<p><a href="https://huggingface.co/distil-whisper/distil-large-v2"> Distil-Whisper</a> is a distilled variant
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of the <a href="https://huggingface.co/openai/whisper-large-v2"> Whisper</a> model by OpenAI. Compared to Whisper,
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Distil-Whisper runs 6x faster with 50% fewer parameters, while performing to within 1% word error rate (WER) on
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+
out-of-distribution evaluation data.</p>
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+
<p>In this demo, we perform a speed comparison between Whisper and Distil-Whisper in order to test this claim.
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Both models use the <a href="https://huggingface.co/distil-whisper/distil-large-v2#long-form-transcription"> chunked long-form transcription algorithm</a>
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in 🤗 Transformers, as well as Flash Attention. To use Distil-Whisper yourself, check the code examples on the
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<a href="https://github.com/huggingface/distil-whisper#1-usage"> Distil-Whisper repository</a>. To ensure fair
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+
usage of the Space, we ask that audio file inputs are kept to < 30 mins.</p>
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"""
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)
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audio = gr.components.Audio(type="filepath", label="Audio input")
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