sentence-transformers How to use Borsa356/bert_mnr_5 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Borsa356/bert_mnr_5")
sentences = [
"A man in an orange shirt and a man in a white shirt are at a vegetable stand, and the man in the orange shirt gives a woman wearing red some vegetables.",
"Two men at a food stand.",
"Two teams play each other in a soccer game.",
"Two men are outside working on a building."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
