MLOps MLflow: Logging and Inferencing with Fine-Tuned Vision Transformer Models

Learn how to register and deploy a fine-tuned Vision Transformer (ViT) model in MLflow through this 37-minute technical tutorial. Master the process of customizing ViT with private datasets, logging the model in MLflow's model registry, and performing inference operations. Follow along with practical code examples demonstrating model registration, tracking, and deployment workflows. Access the complete implementation details through the provided GitHub repository, which includes a comprehensive Jupyter notebook showcasing the entire MLOps pipeline for vision transformer models.