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whisper-large-v3-turbo-ct2
ido318/whisper-large-v3-turbo-ct2
whisper-large-v3-turbo-ct2 is a automatic speech recognition model from ido318. Use it when you need speech turned into text. It is set up for ctranslate2. The card lists the license as apache-2.0.
This is ivrit.ai's faster-whisper model, based on the ivrit-ai/whisper-large-v3-turbo Whisper model.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- ctranslate2
- License
- apache-2.0
- Access
- Public
- Created
- Apr 16, 2026
- Updated
- Apr 16, 2026
- SHA
- 1db6e132
Base models
Datasets
Model card
From the Hugging Face model README
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}')
- Task
- Automatic Speech Recognition
- Library
- ctranslate2
- License
- apache-2.0
- Languages
- he
- Created
- Apr 16, 2026
- Updated
- Apr 16, 2026