LLMOps: Inference of Fine-Tuned ViT Classifier on CPU with C#

Explore the process of performing inference on a CPU using a fine-tuned Vision Transformer (ViT) classifier converted to ONNX format, implemented in C#. Learn how to leverage machine learning and data science techniques to optimize image classification tasks. Discover the step-by-step approach to converting a custom-trained ViT model to ONNX using Python, and then implementing inference in C# for CPU-based execution. Gain insights into LLMOps practices and understand how to efficiently deploy and utilize advanced vision models in resource-constrained environments.