---
language:
- ko
base_model:
- imTak/whisper_large_v3_turbo_korean_Economy
---
# Whisper large-v3 model for CTranslate2

This repository contains the conversion of [imTak/whisper_large_v3_turbo_korean_Economy](https://huggingface.co/imTak/whisper_large_v3_turbo_korean_Economy) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.

This model can be used in CTranslate2 or projects based on CTranslate2 such as [faster-whisper](https://github.com/systran/faster-whisper).

## Example

```python
from faster_whisper import WhisperModel
model = WhisperModel("imTak/whisper_large_v3_turbo_korean_Economy")
segments, info = model.transcribe("audio.mp3")
for segment in segments:
    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
```

## Conversion details

The original model was converted with the following command:

```
ct2-transformers-converter --model imTak/whisper_large_v3_turbo_korean_Economy --output_dir faster-whisper_large_v3_turbo_korean_Economy \
    --copy_files tokenizer_config.json preprocessor_config.json --quantization float16
```

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).

## More information

**For more information about the original model, see its [model card](https://huggingface.co/imTak/whisper_large_v3_turbo_korean_Economy).**