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] hf download Reza2kn/mega-asr-mlx --local-dir mega-asr-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
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Add mixed 8-bit attn + 4-bit MLP variant (92.2%)
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Add mixed 8-bit attn + 4-bit MLP variant (92.2%)
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Add mixed 8-bit attn + 4-bit MLP variant (92.2%)
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Add mixed 8-bit attn + 4-bit MLP variant (92.2%)
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Add mixed 8-bit attn + 4-bit MLP variant (92.2%)
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Add mixed 8-bit attn + 4-bit MLP variant (92.2%)
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Add generation_config.json
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Add tokenizer_config.json
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Add tokenizer.json
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Add config.json
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Add model.safetensors.index.json
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Add model.safetensors
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