Automatic Speech Recognition
MLX
Safetensors
moss_transcribe_diarize
int8
speaker-diarization
custom_code
Instructions to use plaincompute/mlx-MOSS-Transcribe-Diarize-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use plaincompute/mlx-MOSS-Transcribe-Diarize-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download plaincompute/mlx-MOSS-Transcribe-Diarize-8bit --local-dir mlx-MOSS-Transcribe-Diarize-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download model.safetensors from plaincompute/mlx-MOSS-Transcribe-Diarize-8bit: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/plaincompute/mlx-MOSS-Transcribe-Diarize-8bit/resolve/main/model.safetensors
- Command line
-
hf download hf://plaincompute/mlx-MOSS-Transcribe-Diarize-8bit/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/plaincompute/mlx-MOSS-Transcribe-Diarize-8bit/resolve/main/model.safetensors
1.26 GB
- Xet hash:
- 32c0ece1cf28da328c8d031de276dbc2cd01cc8205c0af31eba905cbed8a6748
- Size of remote file:
- 1.26 GB
- SHA256:
- a83ecd2171cc8f4a985b020a187e534f48637c32079f890151fcf42d6da30167
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