Instructions to use akkikiki/j-moshi-ext-mlx-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Moshi
How to use akkikiki/j-moshi-ext-mlx-q8 with Moshi:
# pip install moshi_mlx # Run local inference (macOS Apple Silicon) python -m moshi_mlx.local -q 8 --hf-repo "akkikiki/j-moshi-ext-mlx-q8" # Or run with web UI python -m moshi_mlx.local_web -q 8 --hf-repo "akkikiki/j-moshi-ext-mlx-q8"
- Notebooks
- Google Colab
- Kaggle
Download tokenizer_spm_32k_3.model from akkikiki/j-moshi-ext-mlx-q8: direct link, hf CLI and curl.
- Browser
- Download file 806 kB
-
https://huggingface.co/akkikiki/j-moshi-ext-mlx-q8/resolve/56aeec24da642703e90eac5cc52f7af3ea56ba4d/tokenizer_spm_32k_3.model
- Command line
-
hf download hf://akkikiki/j-moshi-ext-mlx-q8@56aeec24da642703e90eac5cc52f7af3ea56ba4d/tokenizer_spm_32k_3.model
-
curl -L -o tokenizer_spm_32k_3.model https://huggingface.co/akkikiki/j-moshi-ext-mlx-q8/resolve/56aeec24da642703e90eac5cc52f7af3ea56ba4d/tokenizer_spm_32k_3.model
806 kB
- Xet hash:
- ae09e56f2a3001ba51b547d1e7c9676b57bc814aef6352d85abc836cf9681b2a
- Size of remote file:
- 806 kB
- SHA256:
- b5cbdfa8aa7c54c8c5af85b78c309c54a5f2749a20468bf6f60eee007fe6fec1
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