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A Hands-On Introduction to Hugging Face for Developers

A Hands-On Introduction to Hugging Face for Developers

44mIntermediate2024-12-12

Authors

Dhhyey Desai

Dhhyey Desai

Google-Certified Python Expert, Microsoft-Certified Instructor

Course details

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.

Skills covered

Hugging FaceData Science FoundationsMachine LearningArtificial Intelligence FoundationsArtificial Intelligence (AI)Data ScienceOne-Off

Concepts

0. Introduction

  • 01 - Getting started with Hugging Face

1. Introduction to Hugging Face and Transformers

  • 02 - What is Hugging Face
  • 03 - Understanding transformers
  • 04 - Navigating the Hugging Face Model Hub

2. Hands-On with Hugging Face

  • 05 - Working with datasets
  • 06 - Fine-tuning pre-trained models
  • 07 - Evaluating models
  • 08 - Advanced Hugging Face techniques

3. Building a Conversational AI with Llama 3

  • 09 - Discovering Ollama
  • 10 - Building the conversational AI
  • 11 - Evaluating and iterating on the model
  • 12 - Deploying the conversational AI

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