Instructions to use gafiatulin/tada-codec-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use gafiatulin/tada-codec-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir tada-codec-mlx gafiatulin/tada-codec-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 84729fcda71d8c21085ab617855caa10d4c31becde78d9d902ec14165d9cbc29
- Size of remote file:
- 237 MB
- SHA256:
- ba0e8cca0d0e75a72a2e1dd1c39c6edea61f510d0c970d512a14f89d235c3c0e
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