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Working with Hugging Face
4.8(5,731)35k studentsBEGINNEREnglish
Korshub's take
The Korshub Take
This beginner course provides a practical introduction to the Hugging Face ecosystem. You will navigate the Hub to load models and datasets, build NLP pipelines for text classification and summarization (extractive and abstractive), and initiate document interactions.
Who It's For
Developers, data scientists, and AI beginners eager to leverage pre-trained models and datasets from Hugging Face in their projects.
Key Takeaways
- Hugging Face Hub: Search, download, load, and manage pre-trained ML models and datasets from the Hub.
- Text NLP Pipelines: Implement pipelines for text classification, dynamic category assignment, and document summarization.
- Document AI: Leverage extractive/abstractive summarization models and explore interactive document Q&A workflows.
About this course
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.
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