|
--- |
|
license: mit |
|
--- |
|
|
|
# Whisper large-v3 turbo model for CTranslate2 |
|
|
|
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. |
|
|
|
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). |
|
|
|
## Example |
|
|
|
|
|
```python |
|
from faster_whisper import WhisperModel |
|
|
|
model = WhisperModel("h2oai/faster-whisper-large-v3-turbo") |
|
|
|
segments, info = model.transcribe("audio.mp3") |
|
for segment in segments: |
|
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text)) |
|
``` |
|
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). |
|
|
|
|
|
## Conversion details |
|
The openAI model was converted with the following command: |
|
``` |
|
ct2-transformers-converter --model openai/whisper-large-v3-turbo --output_dir faster-whisper-large-v3-turbo \ |
|
--copy_files tokenizer.json preprocessor_config.json --quantization float16 |
|
``` |
|
|
|
### More Information |
|
|
|
For more information about the original model, see its [model card](https://huggingface.co/openai/whisper-large-v3-turbo). |
|
|
