How to use liudev/novel-embedding-gpl-base-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("liudev/novel-embedding-gpl-base-v2") sentences = [ "因他人拒演而获得试镜机会", "当众演示历史版图的变迁引人深思", "因表现出色破例被允许提前入族谱", "重返游戏后，利用前世记忆抢占隐藏机缘" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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