README.md

---
license: apache-2.0
base_model:
- BELLE-2/Belle-whisper-large-v3-turbo-zh
tags:
- audio
- automatic-speech-recognition
---

# Belle-whisper-large-v3-turbo-zh model for CTranslate2

This repository contains the conversion of [BELLE-2/Belle-whisper-large-v3-turbo-zh](https://huggingface.co/BELLE-2/Belle-whisper-large-v3-turbo-zh) 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("flateon/Belle-whisper-large-v3-turbo-zh-ct2")

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 BELLE-2/Belle-whisper-large-v3-turbo-zh --output_dir Belle-whisper-large-v3-turbo-zh-ct2 \
    --copy_files tokenizer.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/BELLE-2/Belle-whisper-large-v3-turbo-zh).**