A Hands-On Introduction to Hugging Face for Developers
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 44m | 91.8 MB
Instructor: Dhhyey Desai
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 44m | 91.8 MB
Instructor: Dhhyey Desai
Unlock the power of state-of-the-art natural language processing with "Hugging Face for Developers." In this course, Dhhyey Desai—a Google-certified Python expert and a Microsoft-certified instructor—provides a comprehensive introduction to the Hugging Face ecosystem, including its key features and benefits. Find out how to navigate the Model Hub, work with datasets, and fine-tune pre-trained models for various NLP tasks. Plus, complete a final project where you'll develop a conversational AI using the advanced Llama 3 model. Whether you're a beginner or an experienced developer, this course will equip you with the skills to leverage Hugging Face in your projects.
Learning objectives
- Understand the fundamentals of the Hugging Face ecosystem and transformer architecture.
- Navigate and utilize the Hugging Face Model Hub to find and evaluate pre-trained models.
- Gain hands-on experience with the Datasets library, including loading, exploring, and preprocessing data.
- Learn to fine-tune pre-trained models on custom datasets and evaluate their performance.
- Build and deploy NLP applications, culminating in a final project to develop a conversational AI using Llama 3.