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Multi-Modal Models with Hugging Face

Intermediate
Updated 05/2025
Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!
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PythonArtificial Intelligence4 hours14 videos45 Exercises3,800 XPStatement of Accomplishment

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Course Description

Harness the Power of Multi-Modal AI

Dive into the cutting-edge world of multi-modal AI models, where text, images, and speech combine to create powerful applications. Learn how to leverage Hugging Face's vast repository of models that can see, hear, and understand like never before. Whether you're analyzing social media content, building voice assistants, or creating next-generation AI applications, multi-modal models are your gateway to handling diverse data types seamlessly.

Master Essential Multi-Modal Techniques

Explore state-of-the-art models like CLIP for image-text understanding, SpeechT5 for voice synthesis, and the Qwen2 Vision Language model for multi-modal sentiment analysis. Through hands-on exercises, you'll master the techniques used by leading AI companies to build sophisticated multi-modal systems.

Future-Proof Your AI Skills

This course will give you a robust toolkit for handling multi-modal AI tasks. You'll learn to process and combine different data modalities effectively, fine-tune pre-trained models for custom applications, and evaluate and improve model performance across modalities.

Prerequisites

Working with Hugging Face
1

Accessing Hugging Face Models and Datasets

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2

Unimodal Vision, Audio, and Text Models

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3

Multi-Modal Classification

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4

Multi-Modal Generation

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Multi-Modal Models with Hugging Face
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