| license: apache-2.0 | |
| datasets: | |
| - ivrit-ai/crowd-transcribe-v5 | |
| language: | |
| - he | |
| base_model: | |
| - openai/whisper-large-v3-turbo | |
| This is ivrit.ai's faster-whisper model, based on the ivrit-ai/whisper-large-v3-turbo Whisper model. | |
| Training data includes 295 hours of volunteer-transcribed speech from the ivrit-ai/crowd-transcribe-v5 dataset, as well as 93 hours of professional transcribed speech from other sources. | |
| Release date: TBD | |
| # Prerequisites | |
| pip3 install faster_whisper | |
| # Usage | |
| ``` | |
| import faster_whisper | |
| model = faster_whisper.WhisperModel('ivrit-ai/whisper-large-v3-turbo-ct2') | |
| segs, _ = model.transcribe('media-file', language='he') | |
| texts = [s.text for s in segs] | |
| transcribed_text = ' '.join(texts) | |
| print(f'Transcribed text: {transcribed_text}') | |
| ``` |