Automatic Speech Recognition
MLX
ONNX
Safetensors
asr
speech-recognition
robust-asr
quantized
int4
4bit
mixed-precision
dwq
on-device
apple-silicon
qwen3
qwen3-asr
mega-asr
Instructions to use Reza2kn/mega-asr-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Reza2kn/mega-asr-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir mega-asr-mlx Reza2kn/mega-asr-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Add mixed.wav
Browse files- .gitattributes +1 -0
- examples/mixed.wav +3 -0
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examples/mixed.wav
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oid sha256:339b28e7f59abb2dcfac81c22298060a5da85d09ea3363a8e4004e17a15b31e2
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size 243884
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