How to use LamaDiab/MiniLM-v36-CosineWarmup-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/MiniLM-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]
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