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/d3_E1536.mlpackage/Data/com.apple.CoreML/model.mlmodel from FluidInference/d3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 6.08 MB
-
https://huggingface.co/FluidInference/d3-coreml/resolve/main/mini/d3_E1536.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://FluidInference/d3-coreml/mini/d3_E1536.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/FluidInference/d3-coreml/resolve/main/mini/d3_E1536.mlpackage/Data/com.apple.CoreML/model.mlmodel
6.08 MB
- Xet hash:
- c4b7160f284067cbd0e1be07d5c15c06eef3862c76dfe1830f38e4c92143d649
- Size of remote file:
- 6.08 MB
- SHA256:
- 7ef11f9d9059ae672cfdcb86445ffc28bb0a40433d74d2ab59f04c14f35e43e1
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