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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-v4 |
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language: |
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- he |
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- en |
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base_model: openai/whisper-large-v2 |
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pipeline_tag: automatic-speech-recognition |
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--- |
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This is ivrit.ai's faster-whisper model, based on the ivrit-ai/whisper-v2-d4 Whisper model. |
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Training data includes 250 hours of volunteer-transcribed speech from the ivrit-ai/crowd-transcribe-v4 dataset, as well as 100 ours of professional transcribed speech from other sources. |
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Release date: September 8th, 2024. |
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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/faster-whisper-v2-d4') |
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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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