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Offered By: IBM

Natural Language Processing with Hugging Face Transformers

This Guided Project will walk you through some of the applications of Hugging Face Transformers in Natural Language Processing (NLP). Hugging Face Transformers provide pre-trained models for a variety of applications in NLP and Computer Vision. For example, these models are widely used in near real-time translation tasks, opening communication spaces to language-diverse and hearing-impaired audiences. In this project, you will learn and practice applying these models to do text summarization, sentiment classification, translation, generate new text, and extract information from text.

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Guided Project

Artificial Intelligence

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At a Glance

This Guided Project will walk you through some of the applications of Hugging Face Transformers in Natural Language Processing (NLP). Hugging Face Transformers provide pre-trained models for a variety of applications in NLP and Computer Vision. For example, these models are widely used in near real-time translation tasks, opening communication spaces to language-diverse and hearing-impaired audiences. In this project, you will learn and practice applying these models to do text summarization, sentiment classification, translation, generate new text, and extract information from text.

Why you should do this Guided Project

This Guided Project will introduce you to a simple way of performing various text analysis tasks, such as sentiment analysis, translating a text from one language to another, generating and summarizing text.


A Look at the Project Ahead

After completing this project, you will be able to use pre-trained transformer models to

  - perform text classification, such as sentiment analysis
  - perform topic classification  
  - generate some text 
  - perform token classification, such as Name Entity Recognition (NER)
  - extract some information by doing question answering analysis
  - do text summarization
  - translate text from one language to another

What You'll Need

You just need a web browser!  Basic Python programming knowledge is recommended but it is not required. 
Everything else is provided to you via the IBM Skills Network Labs environment, where you will have access to the Cloud IDE and Python runtimes that we offer as part of the IBM Skills Network Labs environment. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.

Estimated Effort

30 Min

Level

Beginner

Skills You Will Learn

Embeddable AI, LLM, Natural Language Processing, Python, PyTorch, Sentiment Analysis

Language

English

Course Code

GPXX0AIAEN

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