Learn how to fine-tune a Vision Transformer (ViT) model with your own dataset in this comprehensive tutorial. Explore the process of productionizing the model using Docker and FastAPI, gaining valuable insights into machine learning operations (MLOps). Discover practical techniques for customizing and deploying ViT classifiers, enhancing your skills in image classification and model deployment.
Fine-Tuning ViT Classifier with Custom Data and Docker Inference - Part 4
The Machine Learning Engineer via YouTube
Overview
Syllabus
LLMOps: Fine Tune ViT Classifier with your own data (Docker inference) #machinelearning
Taught by
The Machine Learning Engineer
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