Core ML Tools

Convert models from TensorFlow, PyTorch, and other libraries to Core ML.

This guide includes instructions and examples. For details about using the API classes and methods, see the coremltools API Reference.

Index | Search Page

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API Reference

• coremltools API Reference
• Core ML Model Format

Overview

• What Is Core ML Tools?
• Installing Core ML Tools
• Getting Started
• New Features
• Core ML Tools FAQs
• Examples
• Contributing

Unified Conversion

• Core ML Tools API Overview
• Converting Deep Learning Models
• Converting from TensorFlow
• Converting from PyTorch
• Conversion Options
• Model Intermediate Language

Optimization

• Overview
• What’s New
• Examples
• Optimization Workflow
• Palettization
• Linear Quantization
• Pruning
• Combining Compression Types
• Conversion
• Compressing Neural Network Weights

Other Converters

• LibSVM
• Scikit-learn
• XGBoost

MLModel

• MLModel Overview
• Multifunction Models
• Xcode Model Preview Types
• MLModel Utilities
• Model Prediction
• Updatable Models