Instructions to use faraday/ema-lightning-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use faraday/ema-lightning-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download faraday/ema-lightning-mlx --local-dir ema-lightning-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download NOTICE from faraday/ema-lightning-mlx: direct link, hf CLI and curl.
- Browser
- Download file 394 Bytes
-
https://huggingface.co/faraday/ema-lightning-mlx/resolve/main/NOTICE
- Command line
-
hf download hf://faraday/ema-lightning-mlx/NOTICE
-
curl -L -o NOTICE https://huggingface.co/faraday/ema-lightning-mlx/resolve/main/NOTICE
394 Bytes
| EMA Lightning | |
| Original model and implementation: Canberk Aslan. | |
| Source: https://huggingface.co/canberkkkkkk/ema-lightning | |
| Code: https://github.com/canberk7/ema-lightning | |
| Converted tensor layouts and Swift voice metadata are provided for native MLX inference. Original checkpoints/source attribution are retained in voice-manifest.json. See LICENSE for the upstream Apache License, Version 2.0. | |