How to use IshTale/EccomerceEmbeddingModel with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("IshTale/EccomerceEmbeddingModel") sentences = [ "smart cutting machine for crafts", "HyperX Cloud Alpha Wireless Gaming Headset", "Rubbermaid Brilliance 20-Piece Food Storage Set", "Men's Wick Short Sleeve Crew - Light Merino Wool Camo Hunting Shirt, UV Protection Moisture Management Base Layer" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
