sentence-transformers How to use dwulff/mpnet-cocs with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("dwulff/mpnet-cocs")
sentences = [
"A trigger of contamination OCD: own hands",
"A trigger of contamination OCD: parking lot buttons",
"A trigger of contamination OCD: touched by strangers",
"A trigger of contamination OCD: using public toilets"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
