Offered By: IBMSkillsNetwork
Text Sentiment Analysis using Caikit and Hugging Face
In this guided project you will build a Python application that uses Caikit run-time and API to query the Hugging Face model for sentiment analysis on text strings.
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Guided Project
Artificial Intelligence
168 EnrolledAt a Glance
In this guided project you will build a Python application that uses Caikit run-time and API to query the Hugging Face model for sentiment analysis on text strings.
Hugging Face provides an extensive collection of pre-trained models, allowing developers and researchers to leverage cutting-edge NLP and Generative AI capabilities with ease. The platform also offers user-friendly APIs, empowering users to integrate these models seamlessly into their own applications and projects.
A Look at the Project Ahead
- Installing the required Python libraries and Caikit run-time.
- Exploring Caikit and understanding its capabilities in the context of model management.
- Leveraging a Hugging Face model for sentiment classification.
- Implementing API calls to interact with the sentiment analysis model seamlessly.
What You'll Need
Estimated Effort
30 Minutes
Level
Beginner
Skills You Will Learn
Caikit, Hugging Face, Sentiment Analysis, Python, AI Model, Open Source AI
Language
English
Instructors
Rav Ahuja
Global Program Director, IBM Skills Network
Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.
Read moreMark Sturdevant
Open source software developer and advocate
Open Source Developer at IBM
Read moreMARTIN HICKEY
STSM, Open Source Developer at IBM
Martin Hickey is a Senior Technical Staff Member and an Open Source strategic leader at IBM. He has been contributing to various Open Source projects, most notably, Kubernetes, Helm, OpenTelemetry, OpenStack, and the Elastic community. Martin is a core maintainer of the Helm project and a TOC member of the Helm organization. He has been a speaker at various conferences like KubeCon, Helm Summit and Elasticon, CNCF events and workshops, and local Open Source Meetups. He founded the Cork Open Technology Meetup to help support Open Source locally. Martin has many years' experience in the creation of enterprise software for different industries, from Telcos to Cloud.
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