ANE Trainer¶
✨ Features¶
ANE Trainer provides a streamlined, high-performance path to deploying and training lightweight models optimized for Apple Silicon.
Native ANE Acceleration
Leverage the power of the Apple Neural Engine for ultra-fast inference and training on-device.
Simple Python Interface
Define your models using familiar frameworks like PyTorch or TensorFlow, abstracted by our CLI.
Lightweight Training
Perfect for small, efficient models (e.g., MNIST classification) where low latency is critical.
🛠️ Quick Start¶
Get the trainer up and running in minutes.
Installation
Install the package via pip:
pip install ane-trainerGetting Started
Follow our detailed guide to load a dataset, build your model, and execute the training pipeline on your Apple hardware.