Gain insights into Hugging Face’s AI models for NLP and computer vision. Explore transformer-based pipelines, apply them for tasks like classification and object detection, using Python and PyTorch.
Intermediate
17 Lessons
40min
Certificate of Completion
Gain insights into Hugging Face’s AI models for NLP and computer vision. Explore transformer-based pipelines, apply them for tasks like classification and object detection, using Python and PyTorch.
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This course includes
This course includes
Course Overview
Hugging Face is a community-driven effort to develop and promote artificial intelligence for a wide array of applications. The organization’s pre-trained, state-of-the-art deep learning models can be deployed to various machine learning tasks. In this course, you’ll explore the Hugging Face artificial intelligence library with particular attention to natural language processing (NLP) and computer vision. You’ll first explore Hugging Face’s approach to deep learning with specific attention to transformers. ...Show More
TAKEAWAY SKILLS
Deep Learning
Natural Language Processing
What You'll Learn
A familiarity with Hugging Face and their library of machine learning models
A working knowledge of Hugging Face’s pipeline APIs and their applications
The ability to apply Hugging Face models to generate and read text using natural language processing
The ability to apply Hugging Face models to computer vision tasks
Hands-on experience implementing Hugging Face models using Python and PyTorch
What You'll Learn
A familiarity with Hugging Face and their library of machine learning models
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Course Content
Introduction
NLP
Computer Vision
Conclusion
Appendix
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