Instructions to use vanch007/SenseVoiceSmall-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use vanch007/SenseVoiceSmall-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir SenseVoiceSmall-4bit vanch007/SenseVoiceSmall-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| library_name: mlx-audio | |
| tags: | |
| - mlx | |
| - mlx-audio | |
| - sensevoice | |
| - speech-to-text | |
| - speech | |
| - 4bit | |
| base_model: | |
| - mlx-community/SenseVoiceSmall | |
| # SenseVoiceSmall 4bit MLX | |
| This repository is a local 4-bit MLX quantization of `mlx-community/SenseVoiceSmall` for VTranslator. | |
| Quantization: | |
| - bits: 4 | |
| - group_size: 64 | |
| - target repo: `vanch007/SenseVoiceSmall-4bit` | |
| The app expects the standard `config.json`, `model*.safetensors`, `am.mvn`, and tokenizer model files. | |