Automatic Speech Recognition
MLX
Safetensors
moss_transcribe_diarize
int4
speaker-diarization
custom_code
Instructions to use vanch007/mlx-MOSS-Transcribe-Diarize-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use vanch007/mlx-MOSS-Transcribe-Diarize-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir mlx-MOSS-Transcribe-Diarize-4bit vanch007/mlx-MOSS-Transcribe-Diarize-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "source": "pretrained/mlx-moss-transcribe-diarize", | |
| "format": "mlx-safetensors", | |
| "model_type": "moss_transcribe_diarize", | |
| "quantization": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine", | |
| "scope": "text_backbone_only", | |
| "excluded_prefixes": [ | |
| "model.whisper_encoder", | |
| "model.vq_adaptor" | |
| ] | |
| } | |
| } | |