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Working with Hugging Face

Beginner
4.8+
472 reviews
Updated 05/2025
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
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PythonArtificial Intelligence2 hours8 videos27 Exercises2,200 XP9,578Statement of Accomplishment

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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.

Prerequisites

Introduction to Functions in Python
1

Getting Started with Hugging Face

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2

Building Pipelines with Hugging Face

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Working with Hugging Face
Course
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Don’t just take our word for it

*4.8
from 472 reviews
84%
16%
1%
0%
0%
  • hina
    about 11 hours

    I agve many skills

  • Ravi
    about 12 hours

    ,

  • Anatolii
    about 13 hours

    This course provided a very good and comprehensive introduction to the Hugging Face ecosystem, effectively laying a solid foundation for my practical projects. I particularly appreciated [mention a specific aspect you liked, e.g., the clear explanations of the pipeline() function, the hands-on exercises with AutoTokenizer, or the demonstration of the question-answering pipeline]. This has significantly boosted my confidence in tackling real-world NLP tasks.

  • SANAM
    1 day

    good practice

  • Carlos
    1 day

  • Joe Luigi
    1 day

"I agve many skills"

hina

","

Ravi

"good practice"

SANAM

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