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Learn Hugging Face Bootcamp

Discover the power of open-source machine learning with Hugging Face! Explore transformers, diffusers, and more!

Rating: 4.5741 ratings7,694 students9.5 total hours49 lectures
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Learn Hugging Face Bootcamp Expert

Course facts

  • Last updated 05/2024
  • English English [Auto], French [Auto] , 7 more
  • Instructor: Jose Portilla, Pierian Training
  • practical AI capability and workflow improvement

What you'll learn

Practical outcomes

  • Master Hugging Face's platform, including models, datasets, and spaces.
  • Set up AI development environments with Hugging Face and Google Colab.
  • Use Transformers for NLP tasks like text classification and entity recognition.
  • Develop and train image generation models using the Diffusers library.
  • Apply cutting-edge video and audio models for media generation and analysis.
  • Build interactive AI applications with Gradio, making ML models user-friendly.
  • Understand and implement advanced techniques in large language models.
  • Initiate, manage, and deploy comprehensive machine learning projects.

Curriculum

8 sections • 49 lectures • 9h 21m total length

Introduction1 lecture • 1min
  1. FAQs and Resource Downloads00:40
Introduction to Hugging Face5 lectures • 1hr 12min
  1. What is Hugging Face?08:43
  2. Creating a Hugging Face Account and Token19:00
  3. Understanding Models and Spaces14:41
  4. Datasets on Hugging Face Overview06:36
  5. Hugging Face Setup, Online Options, and Versions22:50
  6. Introduction Check-In 1 question
HuggingFace - NLP with Transformers Library on Hugging Face6 lectures • 1hr 23min
  1. Introduction to Transformers Library01:18
  2. Hugging Face Basics18:57
  3. NLP Pipelines17:14
  4. Understanding how LLMs Work12:30
  5. LLMs - Text Tokenization and Probabilities24:16
  6. LLMs - Text Generation08:35
Image Models - Diffusers Library with Hugging Face6 lectures • 50min
  1. Introduction to Image Models Section00:56
  2. Understanding Image Data04:56
  3. Image Data with Python12:16
  4. Understanding Text to Image Models12:37
  5. Diffusion Models with Python11:53
  6. AutoPipeines with Diffusers07:04
Video Models3 lectures • 44min
  1. Understanding Video Models09:43
  2. Stable Video Diffusion19:59
  3. I2VGen-XL14:33
Audio Models on Hugging Face6 lectures • 1hr 29min
  1. Introduction to Audio00:37
  2. Understanding Audio Data10:56
  3. Audio Data with Python25:25
  4. Audio Classification16:25
  5. Audio Transcription28:13
  6. Audio Generation07:15
Building Machine Learning GUIs with Gradio11 lectures • 1hr 49min
  1. Introduction to Gradio Section02:39
  2. Gradio Components11:53
  3. Gradio Components - Part Two17:10
  4. Gradio - Multiple Components and Layouts17:33
  5. Gradio - Components and Layouts - Part Two08:43
  6. Gradio - Component Interactions11:25
  7. Gradio - Interactions Part Two10:18
  8. Gradio - Machine Learning GUI Example - ML Integration09:04
  9. Gradio - Pipelines Integration06:35
  10. Gradio - Errors, Warnings, and Info07:37
  11. Gradio - Styling and Themes06:17
APPENDIX: Git11 lectures • 1hr 55min
  1. Understanding Git vs. GitHub07:38
  2. Installing Git13:16
  3. GitHub Profile04:52
  4. Configuring Git (Note: GitHub Specific)05:50
  5. Creating and Cloning Repositories19:21
  6. Private Repositories10:22
  7. Git Usage and Workflow08:32
  8. Git add and Commit16:04
  9. Git Remote Branch and Push13:43
  10. Git Log01:35
  11. Git Fetch and Pull13:17

Who it is for

  • Python developers wanting to learn Hugging Face platform

Course description

Overview

Unlock the Future of AI: Master Hugging Face & Open Source Machine Learning Welcome to the Ultimate Journey in Cutting-Edge AI Technologies! Dive into the dynamic world of artificial intelligence with our comprehensive course designed to empower you with the knowledge and skills to harness the full potential of Hugging Face and other open-source machine learning tools. Whether you’re aiming to innovate in tech, enhance your career, or simply passionate about AI, this course is your gateway to becoming a part of the AI revolution. Course Overview Kickstart Your Adventure Get introduced to the world of AI with an in-depth look at the course structure and what you can expect to achieve. Exploring Hugging Face Delve into Hugging Face, the cutting-edge platform revolutionizing AI development. Learn the essentials of setting up your Hugging Face account, managing tokens, understanding models, and more. Gain practical insights into using datasets and the ecosystem of Python packages critical for AI development. Mastery Over NLP with Transformers Explore the Transformers library to unleash powerful NLP capabilities. Tackle real-world tasks like text classification, named entity recognition, and more using pipelines. Deep dive into large language models (LLMs), from tokenization to text generation, and discover their fascinating applications. The Art of Diffusion with the Diffusers Library Step into the world of image generation with the Diffusers library. From setting up diffusion models to generating breathtaking images, get hands-on experience in the entire workflow. Learn the intricacies of models like U-net and techniques for effective image training. Venturing into Video Models Understand and apply cutting-edge video models like Stable Video Diffusion and AnimateDiff. Discover innovative methods to bring static images to life and generate high-quality video content. The Universe of Audio Models Uncover the potential of audio in AI with modules dedicated to audio classification, transcription, and generation. Learn the essential skills to handle and process complex audio data effectively. Building Machine Learning GUIs with Gradio Master the art of creating user-friendly machine learning interfaces using Gradio. From simple components to complex interactive GUIs, learn to build applications that make your ML models accessible and practical. Real-World Applications Tech Innovators: Integrate advanced AI models into your projects or start-ups to drive innovation. Business Professionals: Enhance decision-making processes by implementing AI-driven solutions. Creative Minds: Create stunning art, generate music, or develop interactive media and games using the skills acquired.

Why Choose This Course? Hands-On Learning: Each section includes practical tasks and projects to consolidate learning and build your portfolio.

Industry-Relevant Skills: The curriculum is designed to equip you with skills highly sought after in the tech industry. Community and Support: Gain exclusive access to a community of like-minded learners and industry experts. Embrace the opportunity to transform the digital landscape with your creativity and expertise. Enroll now and start your journey towards mastering Hugging Face and open source machine learning!

Instructor

Jose Portilla, Pierian Training

Jose Portilla Head of Data Science at Pierian Training Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, SalesForce, Starbucks, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.