How to use Snivellus789/router-embedding-tuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Snivellus789/router-embedding-tuned") sentences = [ "x-code秦皇岛革命工程车型号，所体现出来的不同原理，车厢分为哪几类，他们的轮子和动力系统又分为哪几种类型？请详细介绍一下。", "計算費率給定的延期年金的值。", "从系统生物学的视角解读生物科技的重要性。", "新的一年于昨天开始了，请协助完成这篇600字的文章进行时事背景介绍制作，主题有关于“跨年夜上海外滩陈毅广场踩踏事件”五周年。" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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