LLMOps: Converting Video Classifier (ViViT) to ONNX and Inference on CPU

Learn how to convert a fine-tuned Video Vision Transformer (ViViT) to ONNX format and perform inference on a CPU in this 32-minute tutorial. Explore the process of transforming a previously fine-tuned video classifier model, making it compatible with various hardware platforms. Gain hands-on experience in model conversion and optimization techniques essential for efficient deployment in production environments. Access the accompanying code repository for practical implementation and further experimentation with LLMOps workflows in machine learning and data science projects.