---
library_name: mlx
---

# whisper-large-v3-turbo-german-f16-q4
This model was converted to MLX format.

## Use with MLX

```bash
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/whisper/
pip install -r requirements.txt

# Example usage
import mlx_whisper
result = mlx_whisper.transcribe("test.mp3", path_or_hf_repo="whisper-large-v3-turbo-german-f16-q4")
print(result)
```