sentence-transformers 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] 
