Text-to-Speech
Safetensors
MLX
mlx-audio
fish_qwen3_omni
speech
speech generation
voice cloning
tts
8-bit precision
Instructions to use mlx-community/fish-audio-s2-pro-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/fish-audio-s2-pro-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir fish-audio-s2-pro-8bit mlx-community/fish-audio-s2-pro-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
ValueError: Missing 358 parameters:
#1
by crystalleo - opened
yers/base.py", line 191, in load_weights
raise ValueError(f"Missing {num_missing} parameters: \n{missing}.")
ValueError: Missing 358 parameters:
codebook_embeddings.weight,
embeddings.weight,
fast_embeddings.weight,
lucasnewman changed discussion status to closed
Thank you, it's working properly now.