Software Development
Coreml
Integrate Core ML models in iOS apps for on-device machine learning inference. Covers model loading (.mlmodel, .mlpackage, .mlmodelc), predictions with auto-generated classes and MLFeatureProvider, compute unit configuration (CPU, GPU, Neural Engine), MLTensor, VNCoreMLRequest, MLComputePlan, multi-model pipelines, and deployment strategies. Use when loading Core ML models, making predictions, configuring compute units, or profiling model performance.
- Publisher / source
- dpearson2699/swift-ios-skills (found on skills.sh)
- Upstream record
- dpearson2699/swift-ios-skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
5742389c9c1984d28f2732f4cafd58891964f18872b3ef6c1980d970002b224d