Full-Stack Python: A PyScript Dashboard with Hugging Face & Polars
This is the future. Our dashboard will showcase how you can combine PyScript, Hugging Face, and Polars to create advanced data apps. We are going…
AI Project: Text Generation with gpt-2 (Hugging Face)
We’ve used the Hugging Face pipeline to understand text (sentiment-analysis) and answer questions (question-answering). Now, let’s use it for its most famous task: Text Generation….
AI Project: Build a Question-Answering Bot with Hugging Face
We’ve used the Hugging Face pipeline to understand emotion and summarize text. Now, let’s use it to find answers. “Question-Answering” models are trained to read…
AI Project: Build a Text Summarizer with Hugging Face
In our last AI project, we taught Python how to understand emotion. Now, let’s teach it how to read and summarize a long article for…
Beyond the Pipeline: Loading Hugging Face Models and Tokenizers
The pipeline() function in our Hugging Face intro is amazing, but it’s a black box. To do advanced work (like fine-tuning or getting raw data),…
How to Fix: RuntimeError: CUDA out of memory (PyTorch & Hugging Face)
This is the most common—and most frustrating—error when you start working with real AI models. It means: “This AI model is too big to fit…
AI Project: Build a Sentiment Analyzer with Hugging Face in 5 Lines
This is a perfect first project to show the power of our Hugging Face Hub. We will use a pre-trained AI model to instantly determine…
Your First LLM: A Beginner’s Guide to Hugging Face transformers
Machine learning is no longer just about Scikit-Learn. The future is Large Language Models (LLMs). Hugging Face is the “GitHub for AI models,” and their…
