NLP Course documentation

Argilla, check!

NLP Course

0. Setup

1. Transformer models

2. Using 🤗 Transformers

3. Fine-tuning a pretrained model

4. Sharing models and tokenizers

5. The 🤗 Datasets library

6. The 🤗 Tokenizers library

7. Main NLP tasks

8. How to ask for help

9. Building and sharing demos new

10. Curate high-quality datasets new

Introduction to Argilla Set up your Argilla instance Load your dataset to Argilla Annotate your dataset Use your annotated dataset Argilla, check! End-of-chapter quiz

Course Events

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Argilla, check!

That’s all! Congrats! 👏

In this chapter, you learnt the basic steps to:

set up Argilla.
annotate to improve the quality of your dataset.
adapt an existing dataset and re-use it for a different NLP task.
share your annotated dataset with the community in the Hugging Face Hub.

What’s next?

Check more step-by-step tutorials for other popular tasks in the tutorials page.
You can also explore other examples of datasets in this demo.
If you’d like to keep learning about Argilla and more advanced features, check the Argilla documentation.

< > Update on GitHub

←Use your annotated dataset End-of-chapter quiz→