How to use chenbowen184/instacart-two-tower-sbert with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("chenbowen184/instacart-two-tower-sbert") sentences = [ "[+1d w0h15] Butter, Garlic, Applewood Smoked Center Cut Uncured Bacon, Whole Milk, Pie Pans, Large, Mint Chip Ice Cream, Rocky Road Ice Cream; [+6d w6h15] Paste, Red Curry, Coconut Milk, Italian Kitchen Red Wine Vinegar, Jack Habanero Cheese, Garlic, Sourdough Baguette, Fresh Ginger Root, Dry Roasted Lightly Salted Peanuts, Limes, 100% Pure Sesame Seed Oil, Organic Shiitake Mushrooms, Unsalted Chicken Cooking Stock, Broccoli Crown. Next: +13d w6h10", "Product: Banana. Aisle: fresh fruits. Department: produce.", "Product: Whole Chicken. Aisle: poultry counter. Department: meat seafood.", "Product: Organic Strawberries. Aisle: fresh fruits. Department: produce." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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