{"library":"model2vec","type":"library","category":null,"description":"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.","language":"python","status":"active","version":"0.8.1","tags":["NLP","embeddings","natural-language-processing","deep-learning","Hugging Face","semantic-search"],"install":[{"cmd":"pip install model2vec","imports":["from model2vec import StaticModel"]}],"homepage":null,"github":"https://github.com/MinishLab/model2vec","docs":null,"changelog":null,"pypi":"https://pypi.org/project/model2vec/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":7.8,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/model2vec/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Tue Jun 30","last_verified":"Tue Jun 30","next_check":"Thu Jul 30","install_tag":null}}