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Per Borgen
Instructor
Developer, teacher, and co-founder of Scrimba. I love teaching people how to code and helping them break into the tech industry. Based in Oslo, Norway.
Completion
Certificate included
Format
Interactive coding
Subscription
Understand the differences between open-source and closed-source software, including their advantages and limitations
Use HuggingFace.js Inference to generate text-to-speech outputs effectively
Apply HuggingFace.js Inference to transform and manipulate image data
Identify and locate free AI models available on the HuggingFace.js Hub
Run AI models directly in a web browser using Transformers.js
Learn how to utilize open-source LLMs in your applications. Get started with Hugging Face, find the right model, and even run them in your browser or locally via Ollama. By the end of this course, you'll have a clear understanding of the differences between open-source and closed-source frameworks and how they shape the development process. You'll also get hands-on experience with HuggingFace.js, learning to run inference tasks and use AI solutions in real-world situations. You'll pick up practical skills like implementing text-to-speech features and image transformations using HuggingFace's libraries. With a focus on the HuggingFace.js interface, you'll gain direct access to cutting-edge open-source AI tools, making the learning experience both practical and relevant. One of the highlights of the course is exploring the HuggingFace.js Hub, where you'll learn how to find and use free models—a must for keeping AI projects cost-effective. The course wraps up by looking ahead at the future of AI in browser-based applications, giving you a head start on the next wave of innovation. What sets this course apart is its combination of theory and hands-on practice. By the end, you'll be ready to apply AI models to your own projects, making it perfect for anyone looking to break new ground in open-source AI development.
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