sentence-transformers How to use hongming/e5-large-v2-nli-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("hongming/e5-large-v2-nli-v1")
sentences = [
"A man selling donuts to a customer during a world exhibition event held in the city of Angeles",
"The man is doing tricks.",
"A woman drinks her coffee in a small cafe.",
"The building is made of logs."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
