Text Sentiment Analysis using Caikit and Hugging Face
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Learn how to perform Text Sentiment Analysis using Caikit and Hugging Face with this comprehensive tutorial. Gain the skills to utilize Caikit as an abstraction layer and communicate with a sentiment analysis model on Hugging Face using APIs from a Python application.
At a Glance
In this guided project you will build a Python Application that uses Caikit runtime and API to query the Hugging Face model for sentiment analysis on text strings.
Learn how to perform Text Sentiment Analysis using Caikit and Hugging Face with this comprehensive hands-on tutorial. Discover the power of leveraging a Hugging Face sentiment analysis model and calling it through APIs from a Python-based Caikit runtime. By following this tutorial, you will gain the skills to use Caikit as an abstraction layer that enables you to utilize and manage various kinds of AI models using a consistent interface.
This guided project covers various aspects, such as setting up the development environment and Caikit runtime, interfacing with the the Hugging Face model, and applying it to analyze text sentiment. Throughout the project, you’ll find step-by-step instructions, allowing you to write the code and execute commands hands-on in a dedicated environment. By the end, you’ll have a clear understanding of how to utilize the Caikit runtime and use it to communicate with a sentiment analysis model on Hugging Face using APIs from a Python application.
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