|
|
--- |
|
|
language: |
|
|
- en |
|
|
tags: |
|
|
- audio |
|
|
- automatic-speech-recognition |
|
|
license: mit |
|
|
library_name: ctranslate2 |
|
|
base_model: |
|
|
- distil-whisper/distil-large-v3.5 |
|
|
--- |
|
|
|
|
|
# Distil Whisper large-v3.5 model for CTranslate2 |
|
|
|
|
|
This repository contains the conversion of [distil-whisper/distil-large-v3.5](https://huggingface.co/distil-whisper/distil-large-v3.5) 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("deepdml/faster-whisper-large-v3.5") |
|
|
|
|
|
segments, info = model.transcribe("audio.mp3") |
|
|
for segment in segments: |
|
|
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text)) |
|
|
``` |
|
|
|
|
|
## Conversion details |
|
|
|
|
|
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-v3.5).** |
