sentence-transformers How to use tomaarsen/mpnet-base-all-nli-triplet with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("tomaarsen/mpnet-base-all-nli-triplet")
sentences = [
"The strangely dressed guys, one wearing an orange wig, sunglasses with peace signs, and a karate costume with an orannge belt, another wearing a curly blue wig, heart shaped sunglasses, and a karate outfit painted with leaves, and the third wearing pink underwear, a black afro, and giant sunglasses.",
"A blonde female is reaching into a golf hole while holding two golf balls.",
"There are people wearing outfits.",
"The people are naked."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
