FARM (Framework for Adapting Representation Models) provides a streamlined way to fine-tune pretrained language models for downstream NLP tasks. It builds on Hugging Face transformers and PyTorch, offering prebuilt components for common tasks including question answering, named entity recognition, and text classification. The framework targets enterprise use cases with a focus on simplicity and production readiness, though active development has moved to the Haystack project.