How to use qinghuiwan/structural-isomorphism-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("qinghuiwan/structural-isomorphism-v1") sentences = [ "那是 個快樂的人", "那是 條快樂的狗", "那是 個非常幸福的人", "今天是晴天" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
What is a pickle import?
How to fix it?
