Requirement already satisfied: sklearn in c:\users\86158\appdata\roaming\python\python37\site-packages (0.0.post4)
时间: 2023-09-23 09:10:51 浏览: 91
这不是一个问题呀,这是一个Python库scikit-learn(sklearn)已经安装且版本为0.0.post4的提示信息。sklearn是一个机器学习库,提供了各种分类、回归、聚类等机器学习算法和工具。你可以使用它来构建自己的机器学习模型。如果你有任何关于使用sklearn的问题,我很乐意帮助你。
相关问题
Defaulting to user installation because normal site-packages is not writeable Requirement already satisfied: sklearn in c:\users\glt123456\appdata\roaming\python\python38\site-packages (0.0.post5)怎么处理这种错误
这不是一个错误,而是一个提示。它告诉你因为你没有管理员权限,所以 Python 的包会被安装在用户目录下,而不是系统目录。因此,你可以忽略这个提示,或者使用管理员权限重新安装这个包。如果你想要使用管理员权限重新安装这个包,可以在命令行中输入 `python -m pip install --user --upgrade sklearn`,这会将包安装在系统目录下。如果你想要忽略这个提示,可以在代码中加上 `import sklearn`,这会自动将包添加到 Python 的搜索路径中。
Defaulting to user installation because normal site-packages is not writeable Requirement already satisfied: transformers in c:\users\admin\appdata\roaming\python\python311\site-packages (4.30.2) Requirement already satisfied: filelock in c:\users\admin\appdata\roaming\python\python311\site-packages (from transformers) (3.12.2) Requirement already satisfied: huggingface-hub<1.0,>=0.14.1 in c:\users\admin\appdata\roaming\python\python311\site-packages (from transformers) (0.16.4) Requirement already satisfied: numpy>=1.17 in d:\user_cx\software\anaconda3\lib\site-packages (from transformers) (1.24.3) Requirement already satisfied: packaging>=20.0 in d:\user_cx\software\anaconda3\lib\site-packages (from transformers) (23.0) Requirement already satisfied: pyyaml>=5.1 in d:\user_cx\software\anaconda3\lib\site-packages (from transformers) (6.0) Requirement already satisfied: regex!=2019.12.17 in d:\user_cx\software\anaconda3\lib\site-packages (from transformers) (2022.7.9) Requirement already satisfied: requests in d:\user_cx\software\anaconda3\lib\site-packages (from transformers) (2.29.0) Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in c:\users\admin\appdata\roaming\python\python311\site-packages (from transformers) (0.13.3) Requirement already satisfied: safetensors>=0.3.1 in c:\users\admin\appdata\roaming\python\python311\site-packages (from transformers) (0.3.1) Requirement already satisfied: tqdm>=4.27 in d:\user_cx\software\anaconda3\lib\site-packages (from transformers) (4.65.0) Requirement already satisfied: fsspec in d:\user_cx\software\anaconda3\lib\site-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (2023.3.0) Requirement already satisfied: typing-extensions>=3.7.4.3 in d:\user_cx\software\anaconda3\lib\site-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (4.6.3) Requirement already satisfied: colorama in d:\user_cx\software\anaconda3\lib\site-packages (from tqdm>=4.27->transformers) (0.4.6) Requirement already satisfied: charset-normalizer<4,>=2 in d:\user_cx\software\anaconda3\lib\site-packages (from requests->transformers) (2.0.4) Requirement already satisfied: idna<4,>=2.5 in d:\user_cx\software\anaconda3\lib\site-packages (from requests->transformers) (3.4) Requirement already satisfied: urllib3<1.27,>=1.21.1 in d:\user_cx\software\anaconda3\lib\site-packages (from requests->transformers) (1.26.16) Requirement already satisfied: certifi>=2017.4.17 in d:\user_cx\software\anaconda3\lib\site-packages (from requests->transformers) (2023.5.7)
根据你提供的信息,你已经安装了transformers库的版本4.30.2。这个版本应该是可以使用`pipeline`函数的。
你可以尝试导入`pipeline`并使用它,例如:
```python
from transformers import pipeline
classifier = pipeline("text-classification")
result = classifier("This is a test sentence.")
print(result)
```
如果你遇到了任何问题,请提供更多详细信息,以便我能够更好地帮助你。
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