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---
language:
- sv
tags:
- audio
- automatic-speech-recognition
library_name: ctranslate2
license: apache-2.0
---
# KBLab/kb-whisper-large model for CTranslate2
This repository contains the conversion of [KBLab/kb-whisper-large](https://huggingface.co/KBLab/kb-whisper-large) 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("jestillore/kb-whisper-large-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 KBLab/kb-whisper-large --output_dir kb-whisper-large-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/KBLab/kb-whisper-large).**
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