AI Project: Build a Web App for Your Hugging Face Model (with Gradio)
You’ve built amazing AI models, but how do you let your friends or colleagues use them without running your script? One solution is to share…

You’ve built amazing AI models, but how do you let your friends or colleagues use them without running your script? One solution is to share…

When preparing text data for an AI model, you’re often working with millions of rows. For this reason, many practitioners are interested in Polars NLP…

This is the final part of our fine-tuning series. In this article, we’ll explore Hugging Face Evaluate and Share to wrap up our journey. Now,…

It’s very common to have a column in your data that contains a JSON string. In Pandas, this is slow and difficult to work with….

Welcome to Part 2! In Part 1 (The Data), we loaded the “imdb” dataset and prepared it with a tokenizer. Now, we’ll do the exciting…

In the real world, data doesn’t just live in CSV files. It lives in SQL databases. If you’re looking for a simple way to use…

You’ve used Hugging Face pipelines to run pre-trained models. If you want to get the most from these models, learning about Hugging Face Fine-Tuning is…

Your data is often in a “wide” format, like a spreadsheet, but analysis tools (like plotting libraries) prefer “long” format. One useful function for this…

One of the most common data tasks is creating a new column based on a condition. In this tutorial, we’ll focus on using Polars when…

Just loading dates isn’t enough. For real analysis, you need to “engineer features” from them, like “What day of the week do most sales happen?”…