The Donut model in Python can be used to extract text from a given image. This is useful in various scenarios, such as scanning receipts.
You can easily. But as with AI models, you should fine-tune the model to your specific needs.
I wrote this tutorial because I couldn't find any resources that showed exactly how to fine-tune the Donut model using my dataset. So I had to learn this from other tutorials (which I will share in this guide) and figure it out myself.
We will cover the following:
- How to find a dataset for fine-tuning
- Fine-tuning with Google Colab
- How to change parameters
- local fine-tuning