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Introduction to HuggingFace

Get started with the world’s leading open-source AI community. This course will teach you how to use the Hugging Face platform to find and deploy community-built models for your own projects.

Keerthi Pushpajan - Pluralsight course - Introduction to HuggingFace
Keerthi Pushpajan
What you'll learn

Building applications with state-of-the-art AI can seem daunting, often requiring massive compute resources and deep expertise. In this course, Introduction to Hugging Face, you’ll learn to found, implement, and deploy powerful, pre-trained AI models from the open-source community.

First, you’ll explore the Hugging Face Hub, learning how it serves as a community hub where you can discover and evaluate thousands of models and datasets. Next, you’ll discover the simplicity of the Transformers library, using its pipeline feature to run a text generation model with just a few lines of code. Finally, you’ll learn how to deploy your model through multiple methods, including local execution, the Hugging Face Inference API, and by creating web demos with Spaces. When you’re finished with this course, you’ll be ready to move from an idea to a working prototype and start building your own AI-powered features with the Hugging Face ecosystem.

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About the author
Keerthi Pushpajan - Pluralsight course - Introduction to HuggingFace
Keerthi Pushpajan

Keerthi is a computer engineer focused on testing and AI, and also runs a growing artificial jewellery brand. She enjoys combining tech with creative problem-solving - both in code and in business.

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