Instructions to use PishangShedappp/malaysian-whisper-base-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use PishangShedappp/malaysian-whisper-base-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir malaysian-whisper-base-mlx PishangShedappp/malaysian-whisper-base-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Update README.md
Browse files
README.md
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@@ -28,7 +28,7 @@ result = mlx_whisper.transcribe(
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"/path/to/audio.wav",
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path_or_hf_repo="<this-repo>",
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# Optional decoding controls
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language="ms", #
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task="transcribe", # or "translate"
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temperature=0.0,
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no_speech_threshold=0.3,
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"/path/to/audio.wav",
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path_or_hf_repo="<this-repo>",
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# Optional decoding controls
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language="ms", # Malay
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task="transcribe", # or "translate"
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temperature=0.0,
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no_speech_threshold=0.3,
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