sentence-transformers How to use LamaDiab/v2MiniLM-V18Data-256ConstantBATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/v2MiniLM-V18Data-256ConstantBATCH-SemanticEngine")
sentences = [
"gerber baby food fruits apples bananas & cereal",
"world of sweets puzzle",
"baby food",
"baby food"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
