Instructions to use majentik/Qwen3-ASR-0.6B-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use majentik/Qwen3-ASR-0.6B-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-ASR-0.6B-MLX-8bit majentik/Qwen3-ASR-0.6B-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 531d73df5f234bac6a395c762f977ec3b0a6aefbb1b89df70cc0caf4bf76bf95
- Size of remote file:
- 1.01 GB
- SHA256:
- 7ebefa82608d457f7156258a9e33e8f33f1b887e8a2bb9a85f7bd1327ccf5849
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