Instructions to use whnf/Qwen3-ASR-1.7B-JA-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use whnf/Qwen3-ASR-1.7B-JA-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-ASR-1.7B-JA-MLX whnf/Qwen3-ASR-1.7B-JA-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Qwen3-ASR-1.7B-JA MLX
Unquantized MLX-format conversion of neosophie/Qwen3-ASR-1.7B-JA for mlx-qwen3-asr.
Converted locally with mlx-qwen3-asr 0.3.5 by loading the source checkpoint, remapping Qwen3-ASR weights into MLX module keys, and saving bfloat16 weights without quantization.
Usage
pip install -U mlx-qwen3-asr
mlx-qwen3-asr sample.wav --model whnf/Qwen3-ASR-1.7B-JA-MLX --language Japanese -f vtt -o out
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Model size
2B params
Tensor type
BF16
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Hardware compatibility
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Quantized