Open machine learning model exchange format for model conversion, deployment and cross-framework use.
ONNX is an open neural network model exchange format for converting models between deep learning frameworks and deployment environments. It suits taking models trained in PyTorch, TensorFlow and other frameworks into inference deployment, model sharing and cross-platform applications.
Use cases: model conversion, model deployment, cross-framework inference, AI engineering, model sharing
Note: Operator compatibility issues may arise during conversion and need to be tested.
