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Applying Hugging Face Machine Learning Pipelines in Python

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

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Explanations

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 o...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

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

Course Content

Introduction

2 Lessons

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

Introduction to the Course

Hugging Face Overview

NLP

9 Lessons

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

Introduction to NLP Inference

Text and Token Classification

Quiz: Natural Language Processing

Computer Vision

4 Lessons

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

Image Classification

Object Detection

Segmentation

Quiz: Computer Vision

Conclusion

1 Lessons

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

Wrap Up!

Appendix

1 Lessons

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

Default Models List

Project

Intelligent Text Assistant for Prediction and Sentence Completion

beginner

2 hour

Project

Intelligent Text Assistant for Prediction and Sentence Completion

Learn to build an intelligent text assistant Flask application for predictive typing and text correction using Hugging Face models and Python libraries.

beginner

2 hours

Project

Create and Deploy an API for Sentiment Analysis Using TF-IDF

intermediate

1 hour 10 min

Project

Create and Deploy an API for Sentiment Analysis Using TF-IDF

intermediate

1 hour 10 mins

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