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 nano/d3_E640.mlpackage/Data/com.apple.CoreML/model.mlmodel from FluidInference/d3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 2.72 MB
-
https://huggingface.co/FluidInference/d3-coreml/resolve/main/nano/d3_E640.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://FluidInference/d3-coreml/nano/d3_E640.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/FluidInference/d3-coreml/resolve/main/nano/d3_E640.mlpackage/Data/com.apple.CoreML/model.mlmodel
2.72 MB
- Xet hash:
- d4d2f787bfdb1714687aac9c3a3ea3bed6931072d5a30b60276ab7b4b6d2d9e6
- Size of remote file:
- 2.72 MB
- SHA256:
- cf938a6d97278f4c818887bad323422df209350a89930f6ca1e9c41b2e52b78d
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