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DataCamp

Working with Hugging Face

via DataCamp

Overview

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Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

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.

Syllabus

  • Getting Started with Hugging Face
    • Discover 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.
  • Building Pipelines with Hugging Face
    • Learn 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.

Taught by

Jacob Marquez

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