Model Converter

ONNX (Open Neural Network Exchange) - ONNX is an open-standard format engineered to accelerate machine learning across diverse frameworks, operating systems, and hardware. It ensures consistent model inference across multiple deployment targets via a unified API. Additionally, ONNX automatically identifies optimization opportunities to leverage the best available hardware acceleration.

PKL (Pickle) - PKL is a Python-native serialization format designed for the efficient storage and restoration of machine learning models. By preserving the complete model architecture and learned parameters, PKL ensures seamless model loading and high-fidelity predictions within any Python-based environment.

Select the Input Model Format.

Enter Usecase ID: Provide the Usecase ID that need to be exported.

Enter Usecase Version:Provide the Usecase Version that need to be exported.

Select the Output Model Format.

Click on Convert.