最终解决方案:使用源码安装modelscope
问题描述:pip安装包冲突
一开始的是在3.11的虚拟环境下使用命令行`pip install "modelscope[nlp]" -f [https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html](https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html)`下载,一直报错显示包冲突
并且是这种报错,根本没办法调和。
```jsx
modelscope[nlp] 1.9.0 depends on datasets<=2.13.0 and >=2.8.0
modelscope[nlp] 1.8.4 depends on datasets<=2.13.0 and >=2.8.0
modelscope[nlp] 1.8.1 depends on datasets<=2.13.0 and >=2.8.0
modelscope[nlp] 1.6.1 depends on datasets<=2.8.0 and >=2.7.0
modelscope[nlp] 1.6.0 depends on datasets<=2.8.0 and >=2.7.0
modelscope[nlp] 1.5.1 depends on datasets<=2.8.0 and >=2.7.0
modelscope[nlp] 1.4.3 depends on datasets<=2.8.0 and >=2.7.0
modelscope[nlp] 1.4.1 depends on datasets<=2.8.0 and >=2.7.0
modelscope[nlp] 1.3.1 depends on datasets<=2.8.0 and >=2.7.0
modelscope[nlp] 1.1.4 depends on datasets<=2.5.2
modelscope[nlp] 1.1.3 depends on datasets<=2.5.2
modelscope[nlp] 1.1.2 depends on datasets<=2.5.2
modelscope[nlp] 1.1.1 depends on datasets<=2.5.2
modelscope[nlp] 1.1.0 depends on datasets<=2.5.2
modelscope[nlp] 1.0.4 depends on datasets<=2.5.2
modelscope[nlp] 1.0.3 depends on datasets<=2.5.2
modelscope[nlp] 1.0.2 depends on datasets<=2.5.2
modelscope[nlp] 1.0.1 depends on datasets<=2.5.2
modelscope[nlp] 0.3.7 depends on datasets==2.1.0
modelscope[nlp] 0.3.6 depends on datasets==2.1.0
modelscope[nlp] 0.3.5 depends on datasets==2.1.0
modelscope[nlp] 0.3.4 depends on datasets==2.1.0
```
后来在官网找到环境安装的说明:[https://www.modelscope.cn/docs/环境安装](https://www.modelscope.cn/docs/%E7%8E%AF%E5%A2%83%E5%AE%89%E8%A3%85)

环境配置Python版本只显示了3.7和3.8,于是重新创建虚拟环境进行安装。
首先安装深度学习框架,看你的模型是需要pytorch还是tensorflow,根据官网下载对应版本 
后面继续`pip install "modelscope[nlp]" -f https:

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