sentence-transformers How to use LamaDiab/MiniLM-v2-v28-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-v2-v28-SemanticEngine")
sentences = [
"chillax fluffy beanbag",
"living room furniture",
"lined orange",
"home_garden",
"home and garden",
"beanbag"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [6, 6] 
