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Core ML Tools
Use Core ML Tools (coremltools) to convert machine learning models from third-party libraries to the Core ML format. This Python package contains the supporting tools for converting models from training libraries such as the following:
- TensorFlow 1.x
- TensorFlow 2.x
- PyTorch
- Non-neural network frameworks:
With coremltools, you can:
- Convert trained models to the Core ML format.
- Read, write, and optimize Core ML models.
- Verify conversion/creation (on macOS) by making predictions using Core ML.
After conversion, you can integrate the Core ML models with your app using Xcode.
Install 8.0 Beta
The coremltools version 8 beta 2 is now out. To install, run the following command in your terminal:
pip install coremltools==8.0b2
Install Version 7.2
To install the latest non-beta version, run the following command in your terminal:
pip install -U coremltools
Core ML
Core ML is an Apple framework to integrate machine learning models into your app. Core ML provides a unified representation for all models. Your app uses Core ML APIs and user data to make predictions, and to fine-tune models, all on the user’s device. Core ML optimizes on-device performance by leveraging the CPU, GPU, and Neural Engine while minimizing its memory footprint and power consumption. Running a model strictly on the user’s device removes any need for a network connection, which helps keep the user’s data private and your app responsive.
Resources
To install coremltools, see Installing Core ML Tools. For more information, see the following: