Deploy LayoutLMv3 for Document Classification Using Streamlit, Transformers, and HuggingFace Spaces

Deploy LayoutLMv3 for Document Classification Using Streamlit, Transformers, and HuggingFace Spaces

Learn to deploy a pre-trained LayoutLMv3 model for document classification using Streamlit and HuggingFace Spaces in this comprehensive 35-minute tutorial. Explore the process of loading the model, preparing input data, and executing the classification process. Gain practical knowledge on creating a demo app, setting up the project and VSCode environment, building a Streamlit application, and uploading it to HuggingFace Spaces. By the end, acquire the skills to effortlessly deploy pre-trained models for document classification in your own projects using this powerful combination of tools.