Description
This notebook facilitates ONNX, PyTorch and Watson Machine Learning service. It contains steps and code to work with ibm-watsonx-ai library available in PyPI repository. It introduces commands for adapting model to dynamic axes, getting model and training data, persisting model, deploying model and scoring it.
Some familiarity with Python is helpful. This notebook uses Python 3.11.