sentence-transformers How to use zakaria013/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("zakaria013/result_model")
sentences = [
"Two blond women are hugging one another.",
"Some women are hugging on vacation.",
"The women are sleeping.",
"A blond man wearing a brown shirt is reading a book on a bench in the park"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
