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]
