v0.7

[MaartenGr]

• Added function to extract and pass word/document embeddings which should make fine-tuning much faster
• Fix #71

from keybert import KeyBERT

kw_model = KeyBERT()
doc_embeddings, word_embeddings = kw_model.extract_embeddings(docs)
keywords = kw_model.extract_keywords(docs, doc_embeddings=doc_embeddings, word_embeddings=word_embeddings)

Do note that the parameters passed to .extract_embeddings for creating the vectorizer should be exactly the same as those in .extract_keywords.