AI Project: Multi-Label Text Classification with Hugging Face
We’ve done single-label classification (e.g., “POSITIVE” or “NEGATIVE”). But what if a text can be both? A news article could be about “POLITICS” and “FINANCE”….

We’ve done single-label classification (e.g., “POSITIVE” or “NEGATIVE”). But what if a text can be both? A news article could be about “POLITICS” and “FINANCE”….

This is a very common error when working with Python’s modern f-strings. In fact, you might frequently encounter the SyntaxError f-string message when writing code….

Just like Pandas has NaN, Polars has null to represent missing or empty data. Before you can analyze a dataset, you must have a strategy…

In our last security guide, we used LoginRequiredMixin to block logged-out users. But this still leaves a security hole: Any logged-in user can edit any…

This TypeError dict_keys error means you are trying to use square brackets [] on a dict_keys object, which isn’t allowed. A dict_keys object is the…

This is the most famous “gotcha” in all of Python: the Mutable Default Argument bug. It’s a bug that confuses every developer exactly once. Look…

You’ve built a full CRUD application and a Login System. But there’s a huge security hole: Anyone can visit /post/5/edit/ and change your posts! To…

This is the twin error to IndentationError: unexpected indent. One of the most common Python issues beginners face is IndentationError expected block. It’s one of…

The most common data analysis task is “Split-Apply-Combine.” When using Polars, the groupby operation is essential for this task. In Polars, this is done with…

We’ve used Hugging Face to understand text and generate text. Now, let’s use it to understand images with Hugging Face Image Classification. Image Classification is…