Instructions to use cs2764/fish-audio-s2-pro-8bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use cs2764/fish-audio-s2-pro-8bit-mlx 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 cs2764/fish-audio-s2-pro-8bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- 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,
I have updated the model, please check.