Instructions to use FluidInference/d3-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FluidInference/d3-coreml with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download FluidInference/d3-coreml --local-dir d3-coreml
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download mini/pos_embed.f32 from FluidInference/d3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 9.44 MB
-
https://huggingface.co/FluidInference/d3-coreml/resolve/main/mini/pos_embed.f32
- Command line
-
hf download hf://FluidInference/d3-coreml/mini/pos_embed.f32
-
curl -L -o pos_embed.f32 https://huggingface.co/FluidInference/d3-coreml/resolve/main/mini/pos_embed.f32
9.44 MB
- Xet hash:
- 9f2fb42e2f6abdb98bc63bcbaaf6c37b47a0b488a04c6d5aae72181a7806ecf6
- Size of remote file:
- 9.44 MB
- SHA256:
- c860a47dbf5b7bf54636c5620d1de7103a5c1187b2e36e0e5cb2267bc7b9da11
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