Five-Project Series
Using Hugging Face Transformers to Create Chatbots you own this product
- prerequisites
- 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
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team
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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.
here's what's included
Project 1 Question Answering
In this liveProject you’ll develop a chatbot that can answer its user’s questions, using the Hugging Face NLP library. Your challenges will include building the task with DistilBERT transformer, and experimenting with other transformer models to improve your results. Once you’ve built an accurate NLP model, you’ll develop a Telegram bot and integrate it with your Question Answer task.
Project 2 Intent Classification
In this liveProject you’ll develop a chatbot that can classify a user’s intent, using the Hugging Face NLP library. Your challenges will include building the task with the Bart transformer, and building a specialized task for detecting toxic language. You’ll then develop a Telegram bot and integrate it with your toxicity classification task.
Project 3 Summarization
In this liveProject you’ll develop a chatbot that can summarize a longer text, using the HuggingFace NLP library. Your challenges will include building the task with the Bart transformer, and experimenting with other transformer models to improve your results. Once you’ve built an accurate NLP model, you’ll explore other community models and integrate your summarization task with a chatbot.
Project 4 Translation
In this liveProject you’ll develop a chatbot that can translate user messages, using the Hugging Face NLP library. Your challenges will include building the task with the T5 transformer, and build a Translation task considering different languages with mBART. You’ll classify the language of users' messages, and integrate your translation task with a chatbot.
Project 5 Named-Entity Recognition
In this liveProject you’ll develop a chatbot that can extract entities from user messages using the Hugging Face NLP library. Entity extraction pulls relevant data from chunks of text. Your challenges will include building a Named Entity Recognition task with the BERT transformer, and fine-tuning it to a medical context. You’ll then integrate your tasks into a chatbot.
book resources
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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Using Hugging Face Transformers to Create Chatbots project for free
Using Hugging Face Transformers to Create Chatbots project for free
team
monthly
annual
$49.99
$499.99
only $41.67 per month
- five seats for your team
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free product every time you renew
- choose twelve free products per year
- exclusive 50% discount on all purchases
-
![]()
Using Hugging Face Transformers to Create Chatbots project for free
Prerequisites
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:
TOOLS
- 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
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from other participants and our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- 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.
