Instructions to use t0yohei/Irodori-TTS-MLX-500M-v2-VoiceDesign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use t0yohei/Irodori-TTS-MLX-500M-v2-VoiceDesign with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Irodori-TTS-MLX-500M-v2-VoiceDesign t0yohei/Irodori-TTS-MLX-500M-v2-VoiceDesign
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Align model card with MLX DACVAE codec runtime
#2
by kouka-t0yohei - opened
Update the hosted RF-DiT artifact metadata for the current irodori-tts-mlx runtime.
- mark the manifest as no longer requiring the upstream PyTorch DACVAE bridge
- document the separate hosted MLX DACVAE codec artifact path
- refresh the manifest checksum entry
t0yohei changed pull request status to merged