A Deep Dive into Hugging Face Tokenizers (WordPiece & BPE)
We’ve used tokenizers to prepare data for AI models. But how do they work? If you’re interested in a deeper understanding, we’ll explore how Hugging…
AI Project: Visual Question Answering (VQA) with Hugging Face
This is a true “2026 Vision” project. Hugging Face VQA is at the core of what we’re building—we’re giving our AI eyes and a brain….
A Deep Dive into the Hugging Face datasets Library
This article serves as a Hugging Face datasets guide. We’ve used the datasets library to load data for fine-tuning, but what is it? It’s a…
AI Project: How to Generate Speech (Text-to-Speech) with Hugging Face
This is the final piece of the audio puzzle. We’ve used Whisper to transcribe speech, now let’s generate it. The tool Hugging Face Text to…
AI Project: Document Question Answering (Hugging Face LayoutLM)
The Hugging Face Document AI is one of the most commercially valuable AI tasks. We’re moving beyond simple OCR (which just dumps text) to an…
AI Project: Zero-Shot Image Classification (Hugging Face CLIP)
This is one of the most powerful and flexible AI tasks, the visual version of Zero-Shot Text Classification. Zero-Shot Image Classification is revolutionising how AI…
How to Find the Best Models on the Hugging Face Hub (A 2026 Guide)
We’ve used the Hugging Face pipeline many times. But how do you know which model name to use? How do you find a model to…
AI Project: Manual Text Translation (Seq2Seq Model)
In a previous Hugging Face project, we used the translation pipeline, which is fast and easy. But what if you need more control? Or want…
AI Project: Zero-Shot Audio Classification (Hugging Face)
This is one of the most incredible “2026 Vision” projects. You’ve used Zero-Shot for text, but what about sound? Zero-Shot Audio Classification opens up fascinating…
AI Project: Named Entity Recognition (NER) with Hugging Face
This is a core task in Natural Language Processing (NLP). When it comes to extracting entities from text, Hugging Face NER has become a popular…
