How to Use Hugging Face Transformer Models in MATLAB

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Learn how to use Hugging Face transformer models for natural language processing (NLP) tasks in MATLAB®.

Transformer models have been shown to achieve superior results in many NLP tasks. You can use transformer models such as BERT and GPT-2 in MATLAB for text-based applications with Text Analytics Toolbox™ and Deep Learning Toolbox™. You can also use models from external frameworks, such as Hugging Face transformers with text data in MATLAB.

We walk through the steps of using a Hugging Face transformer model to perform machine translation and analyze the text data using Text Analytics Toolbox, creating a complete NLP pipeline.

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© 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
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This is very interesting!
Is the source code used in this video available?

TMHK
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