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}')