Model2Vec

Model2Vec is a Python library designed for training and using state-of-the-art static embeddings for various NLP tasks like classification, clustering, and semantic search. Built on top of Hugging Face's `transformers` library, it aims for fast and efficient embedding generation. The current version is 0.8.1, and it maintains an active release cadence with updates typically occurring monthly or bi-monthly.