Instructions to use Leonidng/kb-whisper-small-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Leonidng/kb-whisper-small-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir kb-whisper-small-mlx Leonidng/kb-whisper-small-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
KB Whisper Small โ MLX
MLX-converted version of KBLab/kb-whisper-small for Apple Silicon.
Usage
import mlx_whisper
result = mlx_whisper.transcribe(
"audio.wav",
path_or_hf_repo="Leonidng/kb-whisper-small-mlx",
language="sv",
)
print(result["text"])
Model details
- Base model: KBLab/kb-whisper-small (Swedish fine-tuned Whisper small)
- Format: MLX (float16 safetensors)
- Size: ~459 MB
- Conversion: Converted using mlx-examples/whisper/convert.py
KBLab's Swedish fine-tune of Whisper small outperforms OpenAI's whisper-large-v3 on Swedish benchmarks while being significantly smaller and faster.
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