How to use tomaarsen/bert-base-uncased-tsdae-askubuntu with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tomaarsen/bert-base-uncased-tsdae-askubuntu") sentences = [ "evolution check, without keeping ui?", "why will unity have a global menu os x style ?", "how to increase printers buffer while printing via command line ?", "how do i make evolution check and notify new emails , without keeping main ui open ?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
