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+ ---
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+ license: apache-2.0
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+ datasets:
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+ - ivrit-ai/crowd-transcribe-v5
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+ language:
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+ - he
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+ base_model:
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+ - openai/whisper-large-v3-turbo
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+ ---
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+
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+ This is ivrit.ai's faster-whisper model, based on the ivrit-ai/whisper-large-v3-turbo Whisper model.
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+
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+ Training data includes ? hours of volunteer-transcribed speech from the ivrit-ai/crowd-transcribe-v5 dataset, as well as ? hours of professional transcribed speech from other sources.
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+
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+ Release date: TBD
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+
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+ # Prerequisites
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+
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+ pip3 install faster_whisper
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+
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+ # Usage
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+
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+ ```
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+ import faster_whisper
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+ model = faster_whisper.WhisperModel('ivrit-ai/whisper-large-v3-turbo-ct2')
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+
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+ segs, _ = model.transcribe('media-file', language='he')
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+
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+ texts = [s.text for s in segs]
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+
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+ transcribed_text = ' '.join(texts)
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+ print(f'Transcribed text: {transcribed_text}')
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+ ```