metadata
library_name: mlx
whisper-large-v3-turbo-german-f16
This model was converted to MLX format from primeline/whisper-large-v3-turbo-german
made this with a custom script for converting safetensor whisper models.
it is in float16, works well, quantization should also be possible, untested yet.
Use with MLX
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/whisper/
pip install -r requirements.txt
import mlx_whisper
result = mlx_whisper.transcribe("test.mp3", path_or_hf_repo="mlx-community/whisper-large-v3-turbo-german-f16")
print(result)