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Code Review
This pull request introduces a new tutorial for integrating TabPFN with MLflow, including a custom PythonModel wrapper and deployment instructions for Mosaic AI Model Serving. The feedback highlights a critical type mismatch between the model's return value and its defined signature, which would cause failures during serving. Additionally, there is an inconsistency in the secret keys used for authentication and a recommendation to replace assertions with explicit exceptions for more robust input validation in the model wrapper.
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This adds the MLflow with Databricks tutorial.