Hugging Face Transformers in Action: Learning How To Leverage AI for NLP

The Hugging Face `transformers` library offers a simple interface for complex AI tasks through its Pipeline class. This practical guide provides code examples for performing sentiment analysis, zero-shot classification, text generation, and named entity recognition. It also demonstrates how to use the library for summarization and image classification with minimal code. The content emphasizes how pre-trained models from the Hugging Face Hub can be easily implemented for a variety of NLP and computer vision applications.