sentence-transformers_sentencetransformer下载的模型位置

使用场景

中文英文混合文本，近似度比较

使用方式

        pip安装

pip install sentence-transformers

        导入包

import sys
from sentence_transformers.util import cos_sim  
from sentence_transformers import SentenceTransformer as SBert

使用模型

        下载

模型网站链接为：https://public.ukp.informatik.tu-darmstadt.de/reimers/sentence-transformers/v0.2/

然后查找paraphrase-multilingual-MiniLM-L12-v2这个模型名字，点击下载即可

        导入

model = SBert("C:\\Users\xxxx\Downloads\\paraphrase-multilingual-MiniLM-L12-v2")

        计算相似度

sentences1 ="xxxxx1"
 
sentences2 = "xxxxxx2"
 
# Compute embedding for both lists
embeddings1 = model.encode(sentences1)
embeddings2 = model.encode(sentences2)
 
# Compute cosine-similarits
cosine_scores = cos_sim(embeddings1, embeddings2)
cosine_scores
 

限制

sentence有512token限制

参考：https://blog.csdn.net/yuanzhoulvpi/article/details/121755062