sentence-transformers How to use Starkdoorstep12/entity-resolution-biencoder with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Starkdoorstep12/entity-resolution-biencoder")
sentences = [
"Uptown Pub! | 1589 Clover Lane, Wichita Falls, TX",
"Moa LLC Services | 1964 341, VEEDERSBURG, IN",
"Wong Peak-(One) | 2658 61, Vincennes, Indiana",
"Uptown Pub! Trading | "
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
