sentence-transformers How to use gavinqiangli/bge-large-mpnet-base-all-nli-triplet with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("gavinqiangli/bge-large-mpnet-base-all-nli-triplet")
sentences = [
"A construction worker is standing on a crane placing a large arm on top of a stature in progress.",
"A man is playing with his camera.",
"A person standing",
"Nobody is standing"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
