sentence-transformers How to use calvin2258000/test2 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("calvin2258000/test2")
sentences = [
"| :-- | :--: | :--: || After the coming into force date | 1.00 | 1.00 || 6 April 2014 - coming into force date | 1.30 | 1.30 || 1 Oct 2010 - 5 April 2014 | 1.40 | 1.40 || 6 April 2006 - 30 Sept 2010 | 1.67 | 1.67 || Pre 6 April 2006 | 1.67 | 1.67 |",
"What are the applicable building regulation change factors for different time periods starting from pre-6 April 2006 to the current date?",
"When are protected lobbies or corridors required for staircases in buildings with multiple storeys above ground level?",
"What are the standards for repairing, reconstructing, and altering existing drains and sewers?"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
