Five-Project Series

Using Hugging Face Transformers to Create Chatbots you own this product

intermediate Python • basics of Jupyter Notebook • basics of NLP
skills learned
build chatbots using Hugging Face library • use a transformer to create a classification tool • work with transformers to create NLP tools
Giuliano Bertoti
5 weeks · 6-8 hours per week average · BEGINNER

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In this series of liveProjects, you’ll develop a variety of different chatbots that can naturally perform language tasks. Digital transformations have accelerated, and reliable chatbots are now a great tool for both handling customers and dealing with internal queries. You’ll use the Hugging Face library to implement state-of-the-art natural language processing transformers to create bots that can answer questions, classify intent, and more.

These projects are designed for learning purposes and are not complete, production-ready applications or solutions.

liveProject mentor Noorhan Abbas shares what she likes about the Manning liveProject platform.

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When you start each of the projects in this series, you'll get full access to the following book for 90 days.

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project author

Giuliano Bertoti
Giuliano Bertoti holds a Master of Science in Electronic Engineering and Computing from the Aeronautics Institute of Technology in Brazil. He has been a professor of Software Engineering and other computer science disciplines for 14 years and has developed several projects in the field of Artificial Intelligence.


This liveProject is for intermediate Python programmers with some experience in natural language processing. To begin this liveProject you will need to be familiar with the following:

  • Intermediate Python
  • Basics of Jupyter Notebook
  • Basics of natural language processing

you will learn

In this liveProject, you’ll learn the natural language processing skills to develop an intuitive and useful chatbot.

  • Implement the Question Answer, Classification, Summarization and Translation NLP tasks with Hugging Face
  • Integrate the NLP tasks into a chatbot
  • Answer user questions using data from Wikipedia
  • Determine what a user wants from your system
  • Summarize data from Wikipedia
  • Translate from different languages
  • Use a specialized NER for medication recognition


You choose the schedule and decide how much time to invest as you build your project.
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book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.