from sentence_transformers import SentenceTransformer | |
model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2") | |
sentences = [ | |
"That is a happy person", | |
"That is a happy dog", | |
"That is a very happy person", | |
"Today is a sunny day" | |
] | |
embeddings = model.encode(sentences) | |
similarities = model.similarity(embeddings, embeddings) | |
print(similarities.shape) | |
# [4, 4] |