Automatic Speech Recognition
MLX
Safetensors
moss_transcribe_diarize
speaker-diarization
audio
moss
custom_code
Instructions to use vanch007/mlx-MOSS-Transcribe-Diarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use vanch007/mlx-MOSS-Transcribe-Diarize with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download vanch007/mlx-MOSS-Transcribe-Diarize --local-dir mlx-MOSS-Transcribe-Diarize
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download processor_config.json from vanch007/mlx-MOSS-Transcribe-Diarize: direct link, hf CLI and curl.
- Browser
- Download file 292 Bytes
-
https://huggingface.co/vanch007/mlx-MOSS-Transcribe-Diarize/resolve/main/processor_config.json
- Command line
-
hf download hf://vanch007/mlx-MOSS-Transcribe-Diarize/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/vanch007/mlx-MOSS-Transcribe-Diarize/resolve/main/processor_config.json
292 Bytes
| { | |
| "processor_class": "MossTranscribeDiarizeProcessor", | |
| "auto_map": { | |
| "AutoProcessor": "processing_moss_transcribe_diarize.MossTranscribeDiarizeProcessor" | |
| }, | |
| "audio_tokens_per_second": 12.5, | |
| "audio_merge_size": 4, | |
| "time_marker_every_seconds": 5, | |
| "enable_time_marker": true | |
| } | |