Model2Vec is an open-source Python library designed to convert Sentence Transformer models into compact static embedding models. It achieves this by computing fixed vectors for each token and then averaging these vectors to generate sentence embeddings, which enables high-throughput CPU inference without the need for full transformer computations at runtime.