Model Export & Serving

What problem does it solve?

BrainAI models often require efficient export and robust serving to move from research to production. This skill provides end-to-end guidance for exporting models to TorchScript or ONNX, quantizing for deployment, and deploying a scalable API server.

Core Features & Use Cases

• ONNX and TorchScript export workflows for cross-platform deployment
• Dynamic and static quantization strategies with validation and testing
• Serving architecture using APIs (e.g., FastAPI) and containerized pipelines
• Real-world deployment scenarios: from research prototyping to production-grade inference

Quick Start

Install dependencies, export a BrainAI model with TorchScript or ONNX, quantize for deployment, and deploy a FastAPI endpoint to serve predictions.