Getting Started with NLP Using Hugging Face Transformers in Python
An introductory guide to NLP using the Hugging Face Transformers library in Python. Covers setting up a Python virtual environment, installing dependencies, and building NLP pipelines for text classification, named entity recognition (NER), and text summarization. Explains how transformer models use self-attention to understand context, and briefly touches on real-world applications of transformer-based NLP systems.