---
tags:
- audio
- automatic-speech-recognition
license: apache-2.0
library_name: ctranslate2
language:
- 'no'
- nb
- nn
---


# NbAiLab nb-whisper-large model for CTranslate2

This repository contains the conversion of [NbAiLab/nb-whisper-large](https://huggingface.co/NbAiLab/nb-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("faster-nb-whisper-large")

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 NbAiLab/whisper-large --output_dir faster-nb-whisper-large \
    --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/NbAiLab/nb-whisper-large).**