sentence-transformers How to use LamaDiab/MiniLM-v2-v36-CosineWarmup-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-v2-v36-CosineWarmup-SemanticEngine")
sentences = [
"kids' slippers with a sporty neon green design (size 24-25)",
"slipper",
"colorful slipper",
"black winter hoodie"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
