Text-to-Speech
MLX
Chinese
English
auk-base
speech
speech-editing
apple-silicon
audio
8bit
quantized
Instructions to use vanch007/AuK-Base-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use vanch007/AuK-Base-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir AuK-Base-MLX-8bit vanch007/AuK-Base-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- af7f12b046cdb090a9d0ccaa5737efc9d0ea1e06920a1d5eaa4186a0e69072c7
- Size of remote file:
- 597 MB
- SHA256:
- 962a1420495225da13a885f560b11e4168b460c6e4e2af8d0618116e1a40bf48
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.