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Deploy LayoutLMv3 for Document Classification using Streamlit, Transformers and HuggingFace Spaces
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In this video, you'll learn how to deploy a pre-trained LayoutLMv3 model for document classification using Streamlit and HuggingFace Spaces. This is a powerful combination of tools that allows for easy and free deployment of pre-trained models. We will be going through the steps of loading the model, preparing the input data, and running the classification process. By the end of this video, you will have a solid understanding of how to deploy pre-trained models for document classification in your own projects and a demo app.
00:00 - Intro
00:36 - Demo app
01:46 - Streamlit
02:58 - Project setup
06:20 - VSCode setup
08:00 - Streamlit app
29:48 - Upload to HuggingFace Spaces
32:38 - Test the live app
33:24 - Conclusion
#pytorch #streamlit #python #deeplearning #machinelearning #tutorial #course
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