python计算中文文本相似度神器

import sys
from sentence_transformers.util import cos_sim
from sentence_transformers import SentenceTransformer as SBert#model = SBert('paraphrase-multilingual-MiniLM-L12-v2') #如果这调用模型有问题，需自行下载，该模型 ，
#[下载网址](https://public.ukp.informatik.tu-darmstadt.de/reimers/sentence-transformers/v0.2/)model = SBert("C:\\Users\xxxx\Downloads\\paraphrase-multilingual-MiniLM-L12-v2")# Two lists of sentences
sentences1 = ['如何更换花呗绑定银行卡','The cat sits outside','A man is playing guitar','The new movie is awesome']sentences2 = ['花呗更改绑定银行卡','The dog plays in the garden','A woman watches TV','The new movie is so great']# Compute embedding for both lists
embeddings1 = model.encode(sentences1)
embeddings2 = model.encode(sentences2)# Compute cosine-similarits
cosine_scores = cos_sim(embeddings1, embeddings2)
cosine_scores

sentence_transformers

text2vec

5分钟 NLP系列 — SentenceTransformers 库介绍