AnglE
Discover a framework for sentence embeddings using BERT and LLM models engineered for semantic textual similarity. It provides diverse training and inference options with loss methods like AnglE, CoSENT, and Espresso to improve performance. The framework includes numerous pre-trained models and can be seamlessly installed through PyPI, supporting both single and multi-GPU setups. Notable achievements feature acceptance in conferences such as ACL and NAACL. Utilize this tool for advanced semantic text comparison solutions.
