Instructions to use PishangShedappp/malaysian-whisper-medium-v2-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use PishangShedappp/malaysian-whisper-medium-v2-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir malaysian-whisper-medium-v2-mlx PishangShedappp/malaysian-whisper-medium-v2-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- ac74303212515fb696edae5163e4110f2f6a110abaa306f3f7fe12bb6db8fbf9
- Size of remote file:
- 1.52 GB
- SHA256:
- 3a32eb2ca4f3d529455fdeeb0791d429350bfd0130b5cd726730f7aff1f3b5d4
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