Use Pretrained AI Models

Learn how to find, download, and run pretrained Hugging Face models without training an AI model from scratch.

Understand the Model Pipeline

Explore how tokenizers, tensors, models, predictions, and confidence scores work together to turn text into useful AI results.

Build a Sentiment Classifier

Build and operate a practical text classifier that analyzes input and independently identifies positive or negative sentiment.

About the course

AICC’s partnership with Linuxademy.com gives learners access to practical, hands-on technical education designed around building and understanding real systems. In Hugging Face Fundamentals, you will build a working AI sentiment classifier using pretrained models from the Hugging Face Hub. You will learn how models, tokenizers, inputs, predictions, and confidence scores work together. The course uses Python, Google Colab, Hugging Face Transformers, and pretrained AI models. You can follow along and build the project yourself or watch the lessons to understand the complete workflow. Linuxademy’s mission is to help people become more independent with technology by learning how to build, understand, inspect, and operate the systems and tools they use.

Curriculum

2 Chapters · 2 Lessons

    1. (Included in full purchase)

      Hugging Face Basics

    1. (Included in full purchase)

      Lesson 1: Run First Hugging Face Model

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