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---
language: ja
tags:
- audio
- automatic-speech-recognition
license: mit
library_name: ctranslate2
---
# Whisper kotoba-whisper-v1.0 model for CTranslate2
This repository contains the conversion of [kotoba-tech/kotoba-whisper-v1.0](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0) 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
Install library and download sample audio.
```shell
pip install faster-whisper
wget https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml/resolve/main/sample_ja_speech.wav
```
Inference with the kotoba-whisper-v1.0-faster.
```python
from faster_whisper import WhisperModel
model = WhisperModel("kotoba-tech/kotoba-whisper-v1.0-faster")
segments, info = model.transcribe("sample_ja_speech.wav", language="ja", chunk_length=15, condition_on_previous_text=False)
for segment in segments:
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
```
### Benchmark
We measure the inference speed with four different Japanese speech audio on MacBook Pro with the following spec:
- Apple M2 Pro
- 32GB
- 14-inch, 2023
- OS Sonoma Version 14.4.1 (23E224)
| audio file | audio duration (min)| inference time (sec) |
|--|---------------------|-------------|
|audio 1 | 50.3 | 2601 |
|audio 2 | 5.6 | 73 |
|audio 3 | 4.9 | 141 |
|audio 4 | 5.6 | 126 |
## Conversion details
The original model was converted with the following command:
```
ct2-transformers-converter --model kotoba-tech/kotoba-whisper-v1.0 --output_dir kotoba-whisper-v1.0-faster \
--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/distil-whisper/distil-large-v2).** |