
Udemy – Hugging Face 2024-6
Published on: 2024-07-20 13:37:35
Categories: 28
Description
Hugging Face course. This comprehensive course is designed to empower you with the skills and knowledge to use Hugging Face’s advanced Natural Language Processing (NLP) tools and techniques. This course introduces you to the basics of working with Large Language Models (LLM) and guides you through tuning them for various natural language processing tasks. Audience of this course:
- Data scientists and machine learning engineers looking to deepen their expertise in NLP.
- Software developers interested in integrating NLP capabilities into their applications.
- Researchers and academics who seek to apply advanced NLP techniques to their work.
What you will learn in the Hugging Face course:
- Understand the core concepts of the Hugging Face ecosystem.
- Learn how to prepare datasets and tune pre-trained models for specific tasks.
- Complete a case study on managing a project from start to finish using Hugging Face’s resources for building and deploying NLP pipelines.
- Gain the skills to implement real-world applications using Hugging Face models and pipelines, including building and deploying chatbots, machine translation systems, and text summarization tools.
Who is this course suitable for?
- Data scientists and machine learning engineers
- Business analysts and data analysts
- Product managers and technical leaders
- Students and graduates
Profile of Hugging Face course
- Publisher: Udemy
- Lecturer: Anil Bidari
- Training level: beginner to advanced
- Training duration: 1 hour and 18 minutes
- Number of courses: 12
Course headings

Course prerequisites
- Basic Python Programming Skills:
- Familiarity with Python syntax and basic programming concepts.
- Understanding of Machine Learning Concepts:
- Basic knowledge of machine learning principles and algorithms.
Course images

Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
download link
Download part 1 – 1 GB
Download part 2 – 255 MB
File(s) password: www.downloadly.ir
Size
1.2 GB
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