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 tokenizer.json from vanch007/mlx-MOSS-Transcribe-Diarize: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/vanch007/mlx-MOSS-Transcribe-Diarize/resolve/main/tokenizer.json
- Command line
-
hf download hf://vanch007/mlx-MOSS-Transcribe-Diarize/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vanch007/mlx-MOSS-Transcribe-Diarize/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 2e66cc2841d06bfaca1dada8c35fc4e0cc78340822aad69f0ff82e699890145f
- Size of remote file:
- 11.4 MB
- SHA256:
- bcf03774334462d6e34b5005cb11120a62275f146ee2953e68731ecdbce84fbb
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