|
--- |
|
language: |
|
- en |
|
- zh |
|
- de |
|
- es |
|
- ru |
|
- ko |
|
- fr |
|
- ja |
|
- pt |
|
- tr |
|
- pl |
|
- ca |
|
- nl |
|
- ar |
|
- sv |
|
- it |
|
- id |
|
- hi |
|
- fi |
|
- vi |
|
- he |
|
- uk |
|
- el |
|
- ms |
|
- cs |
|
- ro |
|
- da |
|
- hu |
|
- ta |
|
- 'no' |
|
- th |
|
- ur |
|
- hr |
|
- bg |
|
- lt |
|
- la |
|
- mi |
|
- ml |
|
- cy |
|
- sk |
|
- te |
|
- fa |
|
- lv |
|
- bn |
|
- sr |
|
- az |
|
- sl |
|
- kn |
|
- et |
|
- mk |
|
- br |
|
- eu |
|
- is |
|
- hy |
|
- ne |
|
- mn |
|
- bs |
|
- kk |
|
- sq |
|
- sw |
|
- gl |
|
- mr |
|
- pa |
|
- si |
|
- km |
|
- sn |
|
- yo |
|
- so |
|
- af |
|
- oc |
|
- ka |
|
- be |
|
- tg |
|
- sd |
|
- gu |
|
- am |
|
- yi |
|
- lo |
|
- uz |
|
- fo |
|
- ht |
|
- ps |
|
- tk |
|
- nn |
|
- mt |
|
- sa |
|
- lb |
|
- my |
|
- bo |
|
- tl |
|
- mg |
|
- as |
|
- tt |
|
- haw |
|
- ln |
|
- ha |
|
- ba |
|
- jw |
|
- su |
|
- yue |
|
tags: |
|
- audio |
|
- automatic-speech-recognition |
|
license: mit |
|
library_name: ctranslate2 |
|
--- |
|
|
|
|
|
# Whisper large-v3 model for CTranslate2 |
|
|
|
This repository contains the conversion of [whisper-turbo](https://github.com/openai/whisper) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format. |
|
|
|
|
|
## Example |
|
|
|
```python |
|
from huggingface_hub import snapshot_download |
|
from faster_whisper import WhisperModel |
|
|
|
repo_id = "jootanehorror/faster-whisper-large-v3-turbo-ct2" |
|
local_dir = "faster-whisper-large-v3-turbo-ct2" |
|
snapshot_download(repo_id=repo_id, local_dir=local_dir, repo_type="model") |
|
|
|
model = WhisperModel(local_dir, device='cpu', compute_type='int8') |
|
|
|
segments, info = model.transcribe("sample.mp3") |
|
|
|
for segment in segments: |
|
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text)) |
|
``` |
|
|
|
|
|
## More information |
|
|
|
**For more information about the model, see its [official github page](https://github.com/openai/whisper).** |
