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,…
AI Project: Fine-Tuning a Hugging Face Model (Part 2: The Trainer)
Welcome to Part 2! In Part 1 (The Data), we loaded the “imdb” dataset and prepared it with a tokenizer. Now, we’ll do the exciting…
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…
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…
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…
