Instructions to use re-skill/orpheus-tj-early-mlx-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use re-skill/orpheus-tj-early-mlx-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir orpheus-tj-early-mlx-fp16 re-skill/orpheus-tj-early-mlx-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
re-skill/orpheus-tj-early-mlx-fp16
The Model re-skill/orpheus-tj-early-mlx-fp16 was converted to MLX format from re-skill/orpheus-tj-early using mlx-lm version 0.22.3.
Use with mlx
pip install mlx-audio
mlx_audio.tts.generate --model re-skill/orpheus-tj-early-mlx-fp16 --max_tokens 1200 --temperature 0.0 --top_p 0.95 --repetition_penalty 1.1 --text "салом ин матн пурра бо компютер сохта шудааст ман қурбони собир нестам."
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Model size
3B params
Tensor type
F16
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Hardware compatibility
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