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Course Description
Start Building AI with Hugging Face
In today's rapidly evolving landscape of machine learning (ML) and artificial intelligence (AI), Hugging Face stands out as a vital platform, allowing anyone to leverage the latest models, datasets, and functionality in their projects.Explore the Hugging Face Hub
To begin, you'll navigate the Hugging Face Hub's vast model and dataset repository. You'll load, use, and save models from Hugging Face, and download and manipulate datasets for model training.Build Pipelines for Text Applications
Utilize pre-trained models available on Hugging Face for text classification tasks, such as grammatical correctness and dynamic category assignment; summarize long passages of text using both extractive and abstractive summarization models, and even begin having conversations with documents!By the end of the course, you'll be equipped with the knowledge and skills to tackle a wide range of text-based ML and AI tasks effectively using Hugging Face.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.- 1
Getting Started with Hugging Face
FreeDiscover the power of Hugging Face, the go-to AI platform for developers and data scientists. Explore pre-trained models, access datasets, and set up workflows to launch your AI-powered solutions.
Introduction to Hugging Face50 xpWhy build with Hugging Face?50 xpExploring models on the Hub!50 xpRunning Hugging Face models50 xpBuilding a text generation pipeline100 xpInference providers100 xpHugging Face Datasets50 xpExploring datasets on the Hub!50 xpLoading datasets100 xpManipulating datasets100 xp - 2
Building Pipelines with Hugging Face
FreeLearn to build AI pipelines with Hugging Face. Master text classification, summarize content, and extract insights from documents, equipping you to tackle real-world challenges across industries.
Text classification50 xpGrammatical correctness100 xpQuestion Natural Language Inference100 xpDynamic category assignment100 xpText summarization50 xpSummarizing long text100 xpAdjusting the summary length100 xpAuto Models and Tokenizers50 xpWhen to use AutoModels and AutoTokenizers?100 xpTokenizing text with AutoTokenizer100 xpUsing AutoClasses100 xpDocument Q&A50 xpWhat task fits this scenario?100 xpExtracting text with PyPDF100 xpBuilding a Q&A pipeline100 xpCongratulations!50 xp
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In other tracks
Hugging Face Fundamentalscollaborators
prerequisites
Introduction to Functions in Python
Jacob MarquezData Scientist at Microsoft
Jacob H. Marquez is an insatiable learner and lifelong builder. He is a data scientist by day, answering audacious questions to support customer experience and company goals. He is a serial hobbyist by day and night: being an educator, building a coffee recommendation app, drinking coffee, writing on Medium, and amateur cycling and muay thai. He has a bachelor's in psychology and a master's in computational analytics (2024).
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