REBEL (Relation Extraction By End-to-End Learning) is a transformer-based seq2seq model published at EMNLP 2021 that jointly performs entity and relation extraction. It frames relation extraction as a translation task, generating relations as symbolic text that can be parsed into structured triples. The model is available on Hugging Face in multiple languages and integrates with spaCy for pipeline use.