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/vision_P320.mlpackage/Data/com.apple.CoreML/model.mlmodel from FluidInference/d3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 153 kB
-
https://huggingface.co/FluidInference/d3-coreml/resolve/main/edge/vision_P320.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://FluidInference/d3-coreml/edge/vision_P320.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/FluidInference/d3-coreml/resolve/main/edge/vision_P320.mlpackage/Data/com.apple.CoreML/model.mlmodel
153 kB
- Xet hash:
- 64b051137a6e54a532ae32621d7e9e7bdb96cde88a9d9586a8b6662032046f81
- Size of remote file:
- 153 kB
- SHA256:
- 910292eece083ac03bc3d4d7f476bdb7d4ad60fb04fac166f0dff4e059962a6b
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