Version 0.9.0 Release date: 05 Februari, 2025 Model2Vec You can use Model2Vec for blazingly fast embeddings as follows: from keybert import KeyBERT from model2vec import StaticModel embedding_model = StaticModel.from_pretrained("minishlab/potion-base-8M") kw_model = KeyBERT(embedding_model) Light-weight KeyBERT You can now install a light-weight KeyBERT with: pip install keybert --no-deps scikit-learn model2vec Fixes Add Model2Vec & light-weight installation in #253 Add Text Generation Inference with JSON output by @joaomsimoes in #235 Update pre-commit hooks @afuetterer in #237 Set up lint job using pre-commit/action @afuetterer in #238 Version 0.8.5 Release date: 14 June, 2024 Use batch_size parameter with keybert.backend.SentenceTransformerBackend by @adhadse in #210 Add system_prompt param to LLMs by @lucafirefox in #214 Update OpenAI API response by @lucafirefox in #213 Drop support for python 3.6 and 3.7 by @afuetterer in #230 Bump github actions versions by @afuetterer in #228 Switch from setup.py to pyproject.toml by @afuetterer in #231 Version 0.8.4 Release date: 15 Februari, 2024 Update default Cohere model to command by @sam-frampton in #194 Fix KeyLLM fails when no GPU is available by @igor-pechersky in #201 Fix AttributeError: 'tuple' object has no attribute 'page_content' in LangChain in #199 Version 0.8.3 Release date: 29 November, 2023 Fix support for openai>=1 You can now use it as follows: import openai from keybert.llm import OpenAI from keybert import KeyLLM # Create your LLM client = openai.OpenAI(api_key=MY_API_KEY) llm = OpenAI(client) # Load it in KeyLLM kw_model = KeyLLM(llm) Version 0.8.2 Release date: 29 September, 2023 Fixed cuda error when using pre-calculated embeddings with KeyBERT + KeyLLM Version 0.8.1 Release date: 29 September, 2023 Remove unnecessary print statements