axiom-ios-ml

Features and purpose

Use when deploying ANY machine learning model on-device, converting models to CoreML, compressing models, or implementing speech-to-text. Covers CoreML conversion, MLTensor, model compression (quantization/palettization/pruning), stateful models, KV-cache, multi-function models, async prediction, SpeechAnalyzer, SpeechTranscriber.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.