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PishangShedappp/malaysian-whisper-tiny-mlx
malaysian-whisper-tiny-mlx is a automatic speech recognition model from PishangShedappp. Use it when you need speech turned into text. It is set up for mlx. The card lists the license as apache-2.0.
Apple MLX-converted weights for PishangShedappp/malaysian-whisper-tiny-mlx optimized for Apple Silicon.
Downloads · 30 days
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How the weights are stored.
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From the Hugging Face model README
Apple MLX-converted weights for PishangShedappp/malaysian-whisper-tiny-mlx optimized for Apple Silicon.
mesolitica/malaysian-whisper-tinyweights.safetensors, config.json)mlx-whisper on Apple Silicon (M-series)import mlx_whisper
result = mlx_whisper.transcribe(
"/path/to/audio.wav",
path_or_hf_repo="<this-repo>",
# Optional decoding controls
language="ms", # Malay
task="transcribe", # or "translate"
temperature=0.0,
no_speech_threshold=0.3,
logprob_threshold=-1.0,
compression_ratio_threshold=2.4,
)
print(result["text"])
With the server at whisper/server_mlx.py from avatar-npm:
export WHISPER_MODEL=<this-repo-or-local-mlx-path>
export WHISPER_LANGUAGE=ml
python server_mlx.py
# POST /transcribe with form field `file`
mlx-whisper.mesolitica/malaysian-whisper-tiny.The original model’s license applies. See the upstream repository for details.