README.md

metadata

license: apache-2.0
language:
  - ms
  - en
base_model:
  - mesolitica/malaysian-whisper-medium-v2
library_name: mlx
tags:
  - whisper
  - mlx
  - Automatic Speech Recognition
pipeline_tag: automatic-speech-recognition

Malaysian-Whisper-Tiny (MLX)

Apple MLX-converted weights for PishangShedappp/malaysian-whisper-medium-v2-mlx optimized for Apple Silicon.

• Base model: mesolitica/malaysian-whisper-medium-v2
• Format: MLX (weights.safetensors, config.json)
• Intended runtime: mlx-whisper on Apple Silicon (M-series)

Usage (Python)

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"]) 

Local HTTP server (FastAPI)

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`

Notes

• This repo contains only the MLX weights and config. Tokenization and audio preprocessing are handled by mlx-whisper.
• If you need the original (non-MLX) model, see mesolitica/malaysian-whisper-medium-v2.

License

The original model’s license applies. See the upstream repository for details.

Maintainers

• PishangShedappp