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license: mit
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license: mit
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# Whisper large-v3 turbo model for CTranslate2
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This repository contains the conversion of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.
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This model can be used in CTranslate2 or projects based on CTranslate2 models such as [faster-whisper](https://github.com/systran/faster-whisper). It is called automatically for [Mobius Labs fork of faster-whisper](https://github.com/mobiusml/faster-whisper).
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## Example
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```python
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from faster_whisper import WhisperModel
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model = WhisperModel("faster-whisper-large-v3-turbo")
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segments, info = model.transcribe("audio.mp3")
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for segment in segments:
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print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
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```
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Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the [compute_type option in CTranslate2](https://opennmt.net/CTranslate2/quantization.html).
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## Conversion details
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The openAI model was converted with the following command:
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```
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ct2-transformers-converter --model openai/whisper-large-v3-turbo --output_dir faster-whisper-large-v3-turbo \
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--copy_files tokenizer.json preprocessor_config.json --quantization float16
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```
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### More Information
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For more information about the original model, see its [model card](https://huggingface.co/openai/whisper-large-v3-turbo).
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