From the course: AI Text Summarization with Hugging Face
Prerequisites - Hugging Face Tutorial
From the course: AI Text Summarization with Hugging Face
Prerequisites
This course is definitely not a beginner course in artificial intelligence and machine learning, so there are some prerequisites you need to have to make the most of your learning. First is, I expect that you have some knowledge of the fundamentals of machine learning and artificial intelligence. I assume that you understand how machine learning works, you understand the concept of transfer learning, where you use pre-trained models and fine-tune them on your dataset. Another assumption that this course makes is that you have some exposure to natural language processing or NLP techniques. You understand the fundamental idea that words are tokenized and converted to numeric form before they are fed into ML models. And finally, we'll be writing a bunch of Python code in this course. So I expect that you are comfortable programming in Python and using Python libraries. We'll be programmatically working with the Transformers library in Hugging Face using Python and we'll be fine-tuning our models using the PyTorch framework. You don't need to have an understanding of how PyTorch works, just Python is sufficient.
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.