Hugging Face Transformers

This tutorial demonstrates how ready-to-use, open-source LLMs on Hugging Face can be used for standardized text classification via the transformers Python library.

Using the provided notebooks, you can easily apply the presented classification methods to your own texts, and also use other models available on Hugging Face for text classification. After a one-time installation of Python and all required packages, only a few steps of preparation are necessary. After that, we can classify our texts with a category-specific encoder model, a task-specific encoder model, or a universal decoder model.