AI Project: Video Classification with Hugging Face (VideoMAE)
We’ve classified text, audio, and images. Now, let’s classify Video. In this article, we’ll explore Hugging Face Video Classification and how it can be applied…

We’ve classified text, audio, and images. Now, let’s classify Video. In this article, we’ll explore Hugging Face Video Classification and how it can be applied…

We’ve used Text Embeddings to search documents. Now, let’s use Image Embeddings to search photos. we’ll walk through how you can perform a Reverse Image…

Removing backgrounds is tedious manual work. In 2026, we let AI do it. We will use RMBG-1.4 (Remove Background), a state-of-the-art model available on Hugging…

We’ve learned Transcription (Whisper) and Summarization separately. Now, let’s combine them to solve a real problem: watching long YouTube videos. In this post, we’ll build…

You’ve seen them on social media: QR codes that look like anime girls, futuristic cities, or Japanese paintings, but still work when you scan them….

Standard Stable Diffusion takes 20-50 “steps” to denoise an image, which takes seconds. SDXL Turbo Python is a breakthrough model that generates high-quality images in…

Standard Stable Diffusion is great, but sometimes it struggles to hold a specific style consistently. If you want to unlock even more control and versatility,…

We built a RAG chatbot using FAISS, which runs locally. That works for 1,000 documents. But what if you have 100 million? You need a…

In Document QA Project, we used LayoutLM to read documents. But that required a separate OCR step to find the text first. Now, Hugging Face…

We’ve generated images from scratch, but what about fixing old ones? Hugging Face Image Upscaling offers a powerful solution for this. Super Resolution is the…