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

Venelin Valkov via YouTube

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Overview

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This course evaluates a previously trained LayoutLMv3 model for document image classification. It covers saving and loading the model with Hugging Face Hub, single-image prediction, training metrics, and confusion-matrix analysis.

Syllabus

- 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

Taught by

Venelin Valkov

Reviews

4.0 rating, based on 1 Class Central review

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  • Profile image for Rajiv Mehta
    Rajiv Mehta @rajivmehtapy
    This course is a great introduction to the basics of machine learning, including how to upgrade and save libraries, how to train and measure models, and how to upload trained models to HuggingFace Hub. The instructor does a great job of explaining the concepts in a clear and concise way, and the course is well-organized and easy to follow.

    One of the things I really liked about this course was the way the instructor demonstrated key steps and techniques towards using a model to predict the class of a document image. He showed how to use a confusion matrix to explore the accuracy of predictions, and he also provided a lot of helpful tips and tricks along the way.
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