Automatic Speech Recognition
Safetensors
MLX
Japanese
English
mlx-audio
qwen3_asr
asr
japanese
qwen3-asr
speech
audio
speech-to-text
transcription
stt
Instructions to use ph0ryn/Qwen3-ASR-1.7B-JA-MLX-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ph0ryn/Qwen3-ASR-1.7B-JA-MLX-bf16 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-bf16 ph0ryn/Qwen3-ASR-1.7B-JA-MLX-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
ph0ryn/Qwen3-ASR-1.7B-JA-MLX-bf16
This model was converted to MLX format from neosophie/Qwen3-ASR-1.7B-JA using mlx-audio version 0.4.3.
Refer to the original model card for more details on the model.
Use with mlx-audio
pip install -U mlx-audio
CLI Example:
python -m mlx_audio.stt.generate --model ph0ryn/Qwen3-ASR-1.7B-JA-MLX-bf16 --audio "audio.wav"
Python Example:
from mlx_audio.stt.utils import load_model
from mlx_audio.stt.generate import generate_transcription
model = load_model("ph0ryn/Qwen3-ASR-1.7B-JA-MLX-bf16")
transcription = generate_transcription(
model=model,
audio_path="path_to_audio.wav",
output_path="path_to_output.txt",
format="txt",
verbose=True,
)
print(transcription.text)
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Model size
2B params
Tensor type
BF16
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Hardware compatibility
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Base model
Qwen/Qwen3-ASR-1.7B