How to use mkiram/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mkiram/result_model") sentences = [ "Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.", "A woman ordering pizza.", "The people are eating omelettes.", "Some people board a train." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
