Instructions to use oddadmix/Nabra-82M-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use oddadmix/Nabra-82M-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Nabra-82M-MLX oddadmix/Nabra-82M-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Nabra-82M β MLX (for kokoro-ios / MLX-Audio)
Fine-tuned Kokoro-82M for Modern Standard Arabic, in MLX safetensors format for on-device inference (Apple Silicon / iOS via kokoro-ios).
| file | purpose |
|---|---|
kokoro-v1_0.safetensors |
model weights (548 tensors, mlx-audio Kokoro layout) |
af_msa.safetensors |
voicepack (key voice, [510,1,256]) |
config.json |
178-token vocab (+ Κβ7, Δ§β8) + istftnet/plbert config |
PyTorch source + Gradio demo: oddadmix/Nabra-82M-v0.1. Input must be diacritized (tashkeel) β there is no on-device diacritizer.
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