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…
AI Project: How to Translate Text with Hugging Face
You’ve used Hugging Face to understand text, generate it, and even transcribe audio. Now, let’s use it to break the language barrier with Hugging Face…
AI Project: Fill-in-the-Blank with Hugging Face (BERT)
This is one of the original tasks that made models like BERT famous. A “Masked Language Model” (MLM) is trained by having words randomly “masked”…
AI Project: Image Segmentation with Hugging Face
This is the next level of Computer Vision. Hugging Face Image Segmentation is an innovative approach transforming what computers see and understand. This is how…
AI Project: Quantization for Faster Models (Hugging Face optimum)
You’ve built amazing AI models, but they’re huge and slow. A model like gpt-2 can be 500MB+ and slow to run on a CPU. Hugging…
AI Project: Fine-Tuning a Hugging Face Model (Part 3: Evaluation & Sharing)
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,…
