Instructions to use xocialize/anima-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use xocialize/anima-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download xocialize/anima-mlx --local-dir anima-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download transformer-int4.safetensors from xocialize/anima-mlx: direct link, hf CLI and curl.
- Browser
- Download file 1.38 GB
-
https://huggingface.co/xocialize/anima-mlx/resolve/main/transformer-int4.safetensors
- Command line
-
hf download hf://xocialize/anima-mlx/transformer-int4.safetensors
-
curl -L -o transformer-int4.safetensors https://huggingface.co/xocialize/anima-mlx/resolve/main/transformer-int4.safetensors
1.38 GB
- Xet hash:
- bcd77285978b4529bc81f92bb0f3f3ba08c30fa77599b54bb459e531175b49e7
- Size of remote file:
- 1.38 GB
- SHA256:
- 6ff2a5a2507938f45fb4797244352a7cf2f3a0b807c9cd0e0c993ab2b031baa6
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