Nicolepcx/Transformers-in-Action
This is the corresponding code for the book Transformers in Action
This project provides practical code examples for anyone interested in applying advanced AI models, specifically transformers, to common language tasks. It offers Jupyter notebooks that demonstrate how to summarize text, translate languages, classify content, and generate new text. Data scientists, machine learning engineers, and NLP practitioners can use these examples to understand and implement these powerful AI techniques.
135 stars.
Use this if you want to learn by doing, with hands-on code for building and optimizing transformer-based solutions for various natural language processing challenges.
Not ideal if you are looking for a standalone software tool or an API to directly integrate into an application, as this project provides educational code examples rather than a deployable product.
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135
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40
Language
Jupyter Notebook
License
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Last pushed
Oct 31, 2025
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