今天使用了Similarity().similarity(sentence1,sentence2)计算两个词语或短句的相似度，提示我下载pytorch_model_bin等文件，之后使用后发现结果与我上次使用（一周前）结果差异特别大，结果较不准确(后来测试text2vec同样如此)，而在您的demo中计算相似度则结果正常，请问造成现在这样差异原因您能想到什么？

[sswhales]

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[shibing624]

默认模型改了 https://github.com/shibing624/similarities/commit/e666de1e638ff3a11bcd6da4aa5e1cdfd900c60f#diff-c0bb12f632dde502e1847f59fb6b42e7061be3f132210b75bd18fc89ab9acc12R80 ，这个你可以加参数改为之前的。

from similarities import Similarity
m = Similarity(model_name_or_path="shibing624/text2vec-base-chinese")

修改原因是为了兼容英文相似度计算结果；如果你只需要处理中文，则用shibing624/text2vec-base-chinese是更合适的。

[sswhales]

非常感谢回复，原因也正如您所说，问题已经解决。