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Applying Hugging Face Machine Learning Pipelines in Python

This course introduces Hugging Face models and uses them for several NLP and computer vision tasks.

Intermediate

17 Lessons

40min

Certificate of Completion

This course introduces Hugging Face models and uses them for several NLP and computer vision tasks.
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This course includes

10 Playgrounds
Course Overview
What You'll Learn
Course Content
Apply Your Skills

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
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 cou...Show More

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
A familiarity with Hugging Face and their library of machine learning models

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Course Content

1.

Introduction

2 Lessons

Get familiar with Hugging Face's NLP and computer vision tools, regardless of experience.

2.

NLP

9 Lessons

Walk through NLP tasks using Hugging Face pipelines, including text classification, summarization, translation, and question answering.

3.

Computer Vision

4 Lessons

Break apart Hugging Face's computer vision capabilities in image classification, object detection, and segmentation.

4.

Conclusion

1 Lessons

Grasp the fundamentals of applying Hugging Face ML pipelines in NLP and computer vision.

5.

Appendix

1 Lessons

Dig deeper into default models for NLP and computer vision tasks in Hugging Face.

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