Simple Transformers provides a high-level interface for working with transformer models across multiple NLP tasks including information retrieval, named entity recognition, question answering, text classification, language generation, and conversational AI. Built directly on the HuggingFace Transformers library, it abstracts away boilerplate code to enable rapid model initialization, training, and evaluation for both encoder and seq2seq architectures.