Instructions to use audiohacking/ltx-2.3-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use audiohacking/ltx-2.3-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ltx-2.3-mlx audiohacking/ltx-2.3-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 6aaa2a65bcacb7cfe8f4ade7cf59702f1f593b1007cb2f5bf75cea00970a1c9f
- Size of remote file:
- 638 MB
- SHA256:
- 1512f5ef8387901db0baecb328690676e2667ddf2b63e28f8e6645188c1a8c06
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.