Evaluate LayoutLMv3 for Document Classification - Save & Load Model to HuggingFace Hub

Explore the performance of a pre-trained LayoutLMv3 model on unseen document image data in this comprehensive tutorial video. Learn how to upgrade libraries, save the best model, upload and load models from HuggingFace Hub, predict document image classes, and analyze predictions using a confusion matrix. Gain practical insights into document classification using deep learning techniques, with a focus on PyTorch and HuggingFace Transformers libraries.

- Intro
- Upgrade libraries
- Save the best model
- Upload your model to HuggingFace Hub
- Training metrics
- Load your model from HuggingFace Hub
- Predict the class of a document image
- Explore predictions using a confusion matrix
- Conclusion