AI Project: Fine-Tuning a Hugging Face Model (Part 1: The Data)
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…
AI Project: Using Hugging Face Agents (Your Personal AI Assistant)
This is the cutting-edge of AI, far beyond a simple pipeline. An Agent is an LLM (like ChatGPT) that has been given tools and can…
Automation Project: Build a Screen-Reading Bot (PyAutoGUI + OCR)
What if you want to automate an old app that has no API and no way to copy text? You can teach Python to see…
AI Project: Zero-Shot Classification with Hugging Face
This is one of the most powerful and “magical” tasks in modern AI. In particular, Hugging Face Zero-Shot is a technique that demonstrates impressive versatility…
AI Project: Object Detection with Hugging Face (DETR)
We’ve taught our AI to classify an image (e.g., “This is a cat”). Now let’s teach it to find the cat. Object Detection is a…
Automation Project: Extract Text from Scanned PDFs (OCR)
This is a major challenge for many businesses. You have a PDF, but it’s just a picture of text (a scanned document). When faced with…
AI Project: How to Deploy a Hugging Face Model as a REST API (with Flask)
You’ve built amazing AI models with Hugging Face, but they’re stuck in your script. Want to know how to deploy Hugging Face API so other…
AI Project: Speech-to-Text with Hugging Face (OpenAI Whisper)
You’ve used the Hugging Face pipeline to understand text and images. Now, let’s teach it to understand audio using Hugging Face Speech to Text. We…
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”….
AI Project: Build an Image Classifier with Hugging Face (Vision)
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…
