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 edge/d3_E4096.mlpackage/Data/com.apple.CoreML/model.mlmodel from FluidInference/d3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 3.32 MB
-
https://huggingface.co/FluidInference/d3-coreml/resolve/main/edge/d3_E4096.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://FluidInference/d3-coreml/edge/d3_E4096.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/FluidInference/d3-coreml/resolve/main/edge/d3_E4096.mlpackage/Data/com.apple.CoreML/model.mlmodel
3.32 MB
- Xet hash:
- f6a625a39e6b344a449807f3c55e877c222d598617635135a56f63bf95c4e0e3
- Size of remote file:
- 3.32 MB
- SHA256:
- fc4fc441e92fd3e8be71ced0a05b8d23b92c7e145d8585fa513364e325e8c6c2
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