即使我下载了模型，也无法加载它
[jalal@goku entity-sentiment-analysis]$ which python
/scratch/sjn/anaconda/bin/python
[jalal@goku entity-sentiment-analysis]$ sudo python -m spacy download en
[sudo] password for jalal:
Collecting https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz
Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz (37.4MB)
100% |████████████████████████████████| 37.4MB 9.4MB/s
Installing collected packages: en-core-web-sm
Running setup.py install for en-core-web-sm ... done
Successfully installed en-core-web-sm-2.0.0
Linking successful
/usr/lib/python2.7/site-packages/en_core_web_sm -->
/usr/lib64/python2.7/site-packages/spacy/data/en
You can now load the model via spacy.load('en')
import spacy
nlp = spacy.load('en')
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-2-0fcabaab8c3d> in <module>()
1 import spacy
2
----> 3 nlp = spacy.load('en')
/scratch/sjn/anaconda/lib/python3.6/site-packages/spacy/__init__.py in load(name, **overrides)
17 "to load. For example:\nnlp = spacy.load('{}')".format(depr_path),
18 'error')
---> 19 return util.load_model(name, **overrides)
20
21
/scratch/sjn/anaconda/lib/python3.6/site-packages/spacy/util.py in load_model(name, **overrides)
118 elif hasattr(name, 'exists'): # Path or Path-like to model data
119 return load_model_from_path(name, **overrides)
--> 120 raise IOError("Can't find model '%s'" % name)
121
122
OSError: Can't find model 'en'
我该如何解决这个问题？
如果我不使用sudo下载en模型，我会得到：
Collecting https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz
Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz (37.4MB)
100% |████████████████████████████████| 37.4MB 9.6MB/s ta 0:00:011 62% |████████████████████ | 23.3MB 8.6MB/s eta 0:00:02
Requirement already satisfied (use --upgrade to upgrade): en-core-web-sm==2.0.0 from https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz in /scratch/sjn/anaconda/lib/python3.6/site-packages
You are using pip version 10.0.0, however version 10.0.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Error: Couldn't link model to 'en'
Creating a symlink in spacy/data failed. Make sure you have the required
permissions and try re-running the command as admin, or use a
virtualenv. You can still import the model as a module and call its
load() method, or create the symlink manually.
/scratch/sjn/anaconda/lib/python3.6/site-packages/en_core_web_sm -->
/scratch/sjn/anaconda/lib/python3.6/site-packages/spacy/data/en
Download successful but linking failed
Creating a shortcut link for 'en' didn't work (maybe you don't have
admin permissions?), but you can still load the model via its full
package name:
nlp = spacy.load('en_core_web_sm')
答案 0 :(得分：25)
通过使用sudo python ...，您可以为不同的python解释器安装模型，而不是本地解释器。实际上，它在您的日志中表示spaCy模型已安装到/usr/lib64/python2.7/site-packages/而不是/scratch/sjn/anaconda/lib/python3.6/site-packages/。
尝试运行python -m spacy download en，它应该将模型安装到正确的目录。
答案 1 :(得分：5)
192.168.0.123答案 2 :(得分：5)
对于Windows用户，只需以管理员模式运行CMD并运行
python -m spacy download en
这将正确链接您的en模块。然后您可以使用
nlp = spacy.load('en')
答案 3 :(得分：4)
如果您使用的是Windows，请尝试以管理员身份打开cmd提示符/ Powershell。仅当您以管理员身份运行命令提示符时，才会发生模型的空链接（下载后）
答案 4 :(得分：2)
最终清除了错误!!!
尝试了多个选项，包括：
python -m spacy download en
conda install -c conda-forge spacy
python -m spacy download en_core_web_sm
python -m spacy link en_core_web_sm en
自从使用我的公司网络以来，没有任何工作。最终，此命令像吊饰一样工作：-）
pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz --no-deps
感谢Github链接:-)
答案 5 :(得分：2)
在使用Anaconda时，以管理员身份打开Anaconda Prompt并执行以下命令
python -m spacy download en
要在Jupyter Notebook中加载Spacy'en'，请使用以下命令
spacy.load('en')
答案 6 :(得分：2)
如果使用其他python版本，则可以运行：
sudo python3.6 -m spacy下载zh
与我一起，我的版本3.6 我希望它可以解决您的问题！
答案 7 :(得分：1)
我正在使用anaconda jupyter笔记本，并且遇到相同的错误。在anaconda提示符下以管理员身份运行以下命令，它解决了我的问题：
(base) C:\WINDOWS\system32>conda install -c conda-forge spacy
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\yadav\Anaconda3
added / updated specs:
- spacy
The following packages will be downloaded:
package | build
---------------------------|-----------------
cymem-2.0.3 | py37h6538335_0 35 KB conda-forge
cython-blis-0.4.1 | py37hfa6e2cd_0 4.3 MB conda-forge
murmurhash-1.0.0 | py37h6538335_0 17 KB conda-forge
plac-0.9.6 | py_1 18 KB conda-forge
preshed-3.0.2 | py37h6538335_1 89 KB conda-forge
spacy-2.2.1 | py37he980bc4_0 7.4 MB conda-forge
srsly-0.2.0 | py37h6538335_0 189 KB conda-forge
thinc-7.1.1 | py37he980bc4_0 1.4 MB conda-forge
wasabi-0.4.0 | py_0 19 KB conda-forge
------------------------------------------------------------
Total: 13.4 MB
The following NEW packages will be INSTALLED:
cymem conda-forge/win-64::cymem-2.0.3-py37h6538335_0
cython-blis conda-forge/win-64::cython-blis-0.4.1-py37hfa6e2cd_0
murmurhash conda-forge/win-64::murmurhash-1.0.0-py37h6538335_0
plac conda-forge/noarch::plac-0.9.6-py_1
preshed conda-forge/win-64::preshed-3.0.2-py37h6538335_1
spacy conda-forge/win-64::spacy-2.2.1-py37he980bc4_0
srsly conda-forge/win-64::srsly-0.2.0-py37h6538335_0
thinc conda-forge/win-64::thinc-7.1.1-py37he980bc4_0
wasabi conda-forge/noarch::wasabi-0.4.0-py_0
Proceed ([y]/n)? Y
Downloading and Extracting Packages
cython-blis-0.4.1 | 4.3 MB | ############################################################################ | 100%
cymem-2.0.3 | 35 KB | ############################################################################ | 100%
srsly-0.2.0 | 189 KB | ############################################################################ | 100%
thinc-7.1.1 | 1.4 MB | ############################################################################ | 100%
plac-0.9.6 | 18 KB | ############################################################################ | 100%
spacy-2.2.1 | 7.4 MB | ############################################################################ | 100%
preshed-3.0.2 | 89 KB | ############################################################################ | 100%
wasabi-0.4.0 | 19 KB | ############################################################################ | 100%
murmurhash-1.0.0 | 17 KB | ############################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(base) C:\WINDOWS\system32>python -m spacy download en
Collecting en_core_web_sm==2.2.0
Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.2.0/en_core_web_sm-2.2.0.tar.gz (12.0MB)
|████████████████████████████████| 12.0MB 409kB/s
Requirement already satisfied: spacy>=2.2.0 in c:\users\yadav\anaconda3\lib\site-packages (from en_core_web_sm==2.2.0) (2.2.2)
Requirement already satisfied: numpy>=1.15.0 in c:\users\yadav\anaconda3\lib\site-packages (from spacy>=2.2.0->en_core_web_sm==2.2.0) (1.16.2)
Requirement already satisfied: thinc<7.4.0,>=7.3.0 in c:\users\yadav\anaconda3\lib\site-packages (from spacy>=2.2.0->en_core_web_sm==2.2.0) (7.3.1)
Requirement already satisfied: wasabi<1.1.0,>=0.3.0 in c:\users\yadav\anaconda3\lib\site-packages (from spacy>=2.2.0->en_core_web_sm==2.2.0) (0.4.0)
Requirement already satisfied: requests<3.0.0,>=2.13.0 in c:\users\yadav\anaconda3\lib\site-packages (from spacy>=2.2.0->en_core_web_sm==2.2.0) (2.21.0)
Requirement already satisfied: setuptools in c:\users\yadav\anaconda3\lib\site-packages (from spacy>=2.2.0->en_core_web_sm==2.2.0) (40.8.0)
Requirement already satisfied: plac<1.2.0,>=0.9.6 in c:\users\yadav\anaconda3\lib\site-packages (from spacy>=2.2.0->en_core_web_sm==2.2.0) (1.1.3)
Requirement already satisfied: srsly<1.1.0,>=0.1.0 in c:\users\yadav\anaconda3\lib\site-packages (from spacy>=2.2.0->en_core_web_sm==2.2.0) (0.2.0)
Requirement already satisfied: cymem<2.1.0,>=2.0.2 in c:\users\yadav\anaconda3\lib\site-packages (from spacy>=2.2.0->en_core_web_sm==2.2.0) (2.0.3)
Requirement already satisfied: importlib-metadata>=0.20; python_version < "3.8" in c:\users\yadav\anaconda3\lib\site-packages (from spacy>=2.2.0->en_core_web_sm==2.2.0) (0.23)
Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in c:\users\yadav\anaconda3\lib\site-packages (from spacy>=2.2.0->en_core_web_sm==2.2.0) (1.0.2)
Requirement already satisfied: blis<0.5.0,>=0.4.0 in c:\users\yadav\anaconda3\lib\site-packages (from spacy>=2.2.0->en_core_web_sm==2.2.0) (0.4.1)
Requirement already satisfied: preshed<3.1.0,>=3.0.2 in c:\users\yadav\anaconda3\lib\site-packages (from spacy>=2.2.0->en_core_web_sm==2.2.0) (3.0.2)
Requirement already satisfied: tqdm<5.0.0,>=4.10.0 in c:\users\yadav\anaconda3\lib\site-packages (from thinc<7.4.0,>=7.3.0->spacy>=2.2.0->en_core_web_sm==2.2.0) (4.36.1)
Requirement already satisfied: certifi>=2017.4.17 in c:\users\yadav\anaconda3\lib\site-packages (from requests<3.0.0,>=2.13.0->spacy>=2.2.0->en_core_web_sm==2.2.0) (2019.3.9)
Requirement already satisfied: urllib3<1.25,>=1.21.1 in c:\users\yadav\anaconda3\lib\site-packages (from requests<3.0.0,>=2.13.0->spacy>=2.2.0->en_core_web_sm==2.2.0) (1.24.1)
Requirement already satisfied: idna<2.9,>=2.5 in c:\users\yadav\anaconda3\lib\site-packages (from requests<3.0.0,>=2.13.0->spacy>=2.2.0->en_core_web_sm==2.2.0) (2.8)
Requirement already satisfied: chardet<3.1.0,>=3.0.2 in c:\users\yadav\anaconda3\lib\site-packages (from requests<3.0.0,>=2.13.0->spacy>=2.2.0->en_core_web_sm==2.2.0) (3.0.4)
Requirement already satisfied: zipp>=0.5 in c:\users\yadav\anaconda3\lib\site-packages (from importlib-metadata>=0.20; python_version < "3.8"->spacy>=2.2.0->en_core_web_sm==2.2.0) (0.6.0)
Requirement already satisfied: more-itertools in c:\users\yadav\anaconda3\lib\site-packages (from zipp>=0.5->importlib-metadata>=0.20; python_version < "3.8"->spacy>=2.2.0->en_core_web_sm==2.2.0) (6.0.0)
Building wheels for collected packages: en-core-web-sm
Building wheel for en-core-web-sm (setup.py) ... done
Created wheel for en-core-web-sm: filename=en_core_web_sm-2.2.0-cp37-none-any.whl size=12019131 sha256=f716e80f029462a80e9fb79ef353c1ac8c0f81d3754778bb6fec520d640fcc87
Stored in directory: C:\Users\yadav\AppData\Local\Temp\pip-ephem-wheel-cache-bvy0x0eg\wheels\48\5c\1c\15f9d02afc8221a668d2172446dd8467b20cdb9aef80a172a4
Successfully built en-core-web-sm
Installing collected packages: en-core-web-sm
Found existing installation: en-core-web-sm 2.0.0
Uninstalling en-core-web-sm-2.0.0:
Successfully uninstalled en-core-web-sm-2.0.0
Successfully installed en-core-web-sm-2.2.0
✔ Download and installation successful
You can now load the model via spacy.load('en_core_web_sm')
symbolic link created for C:\Users\yadav\Anaconda3\lib\site-packages\spacy\data\en <<===>> C:\Users\yadav\Anaconda3\lib\site-packages\en_core_web_sm
✔ Linking successful
C:\Users\yadav\Anaconda3\lib\site-packages\en_core_web_sm -->
C:\Users\yadav\Anaconda3\lib\site-packages\spacy\data\en
You can now load the model via spacy.load('en')
(base) C:\WINDOWS\system32>
然后在jupyter笔记本中加载它，如下所示：
nlp = spacy.load('en',parse=True,tag=True, entity=True)
答案 8 :(得分：1)
pip install https://github.com/explosion/spacy-
models/releases/download/en_core_web_sm-2.2.0/en_core_web_sm-2.2.0.tar.gz
#fixes an permission error when attempting to create the symlinks on windows 10
python -m spacy link en_core_web_sm en_core_web_smc
from Jupyter notes
import spacy
nlp = spacy.load('en_core_web_sm')
答案 9 :(得分：1)
我在这里没有找到我的错误（对于所有使用jupyter Notebook，Alteryx，Company Network并有此错误的人）：
我尝试使用python创建一个宏以进行主题检测，但收到错误消息，即没有名为“ en_core_web_sm”的模块
使用以下代码开头安装以下软件包：
从ayx导入包 Package.installPackages（[['pandas'，'numpy'，'matplotlib'， 'gensim'，'spacy'，'pyLDAvis'， 'https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.1.0/en_core_web_sm-2.1.0.tar.gz']）
如果要引用该模块，请使用：
导入en_core_web_sm
nlp = en_core_web_sm.load（）
为我工作的表现很好：））
答案 10 :(得分：1)
1）安装Spacy
$ python -m spacy download en
2）安装模型en_core_web_sm
$ python -m spacy download en_core_web_sm
>>> import spacy
>>> nlp = spacy.load("en_core_web_sm")
答案 11 :(得分：1)
在Windows上的Jupyter笔记本电脑上已出现此问题，并已修复：
使用管理员权限打开Anaconda提示
执行> python -m spacy下载zh
答案 12 :(得分：0)
转到https://github.com/explosion/spacy-models
下载要在SpaCy中加载的模型
将下载的文件粘贴到Anaconda文件夹内的SpaCy文件夹中
在那里打开cmd。键入以下命令，然后按Enter键：
pip install en_core_web_md-1.2.0.tar.gz
以上命令可能会根据下载文件的版本而有所不同。
Voila！错误消失了：）
答案 13 :(得分：0)
试试这个-
导入en
nlp = en.load（）
如果这有效，则表明该问题与spaCy检测已安装软件包的方式有关。如果它不起作用，并给您一个ImportError，则意味着模型安装所在的Python环境与Jupyter环境不同。
还可以再次检查模型是否正确安装？通过在子进程中运行pip将模型安装为Python软件包。而且pip错误有时可能会有些微妙，在输出中不会立即显而易见。
答案 14 :(得分：0)
由于您使用的是Python 3.6版，请尝试使用-
python3 -m spacy下载zh
不仅是python -m .....
答案 15 :(得分：0)
如果您已经下载了spacy和语言模型（例如，en_core_web_sm或en_core_web_md），则可以按照以下步骤操作：
以管理员身份打开Anaconda提示
然后输入：python -m spacy link [软件包名称或路径] [快捷方式]
例如，对于python -m spacy链接/ Users / you / model en
这将创建一个指向您的语言模型的符号链接。现在，您可以在笔记本或脚本中使用spacy.load（“ en”）加载模型
答案 16 :(得分：0)
en_core_web_smanaconda ，请运行此命令conda install -c conda-forge spacy-model-en_core_web_smnlp= spacy.load('en_core_web_sm')答案 17 :(得分：-1)
通过在Windows 10计算机上以管理员身份运行命令提示符来下载spacy解决了链接问题
C:\Users\mrawat>python -m spacy download en
Requirement already satisfied: en_core_web_sm==2.1.0 from https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.1.0/en_core_web_sm-2.1.0.tar.gz#egg=en_core_web_sm==2.1.0 in c:\users\mrawat\appdata\local\programs\python\python37\lib\site-packages (2.1.0)
You are using pip version 19.0.3, however version 19.1.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
✔ Download and installation successful
You can now load the model via spacy.load('en_core_web_sm')
symbolic link created for C:\Users\mrawat\AppData\Local\Programs\Python\Python37\lib\site-packages\spacy\data\en <<===>> C:\Users\mrawat\AppData\Local\Programs\Python\Python37\lib\site-packages\en_core_web_sm
✔ Linking successful
C:\Users\mrawat\AppData\Local\Programs\Python\Python37\lib\site-packages\en_core_web_sm
-->
C:\Users\mrawat\AppData\Local\Programs\Python\Python37\lib\site-packages\spacy\data\en
You can now load the model via spacy.load('en')