onnxruntime

What problem does it solve?

This Skill enables efficient inference and training of ONNX models across multiple hardware backends, simplifying deployment and accelerating AI workflows.

Core Features & Use Cases

• Cross-platform Deployment: Supports inference on CPUs, GPUs, NPUs, and edge devices with hardware-specific acceleration.
• Model Optimization: Applies graph transformations, quantization, and format conversions for faster startup and lower memory footprint.
• Use Case: Deploy a transformer model on server and mobile environments to perform real-time language understanding with optimized latency.

Quick Start

Invoke the onnxruntime skill to run a pre-trained image classification model on your dataset.