Create README.md
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README.md
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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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This is ivrit.ai's faster-whisper model, based on the ivrit-ai/whisper-large-v3-turbo Whisper model.
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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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Release date: TBD
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# Prerequisites
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pip3 install faster_whisper
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# Usage
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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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segs, _ = model.transcribe('media-file', language='he')
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texts = [s.text for s in segs]
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transcribed_text = ' '.join(texts)
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print(f'Transcribed text: {transcribed_text}')
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```
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