SpaCy OSError: Can't find model 'en'
SpaCy OSError: Can't find model 'en'
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'
我应该如何解决这个问题？
如果我不使用 sudo 下载 en 模型，我得到：
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')
通过使用 sudo python ...，您可以为与本地解释器不同的 python 解释器安装模型。事实上，它在您的日志中说 spaCy 模型安装到 /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。
哦，好吧。结果即使我的 which python 正在显示 anaconda python，当我使用 python 下载时它正在将它链接到我机器上的本地 python2.7。我使用以下命令修复了它：
$ sudo /scratch/sjn/anaconda/bin/python -m spacy download en
FINALLY CLEARED THE ERROR !!!
现在安装的最佳方式
pip install -U pip setuptools wheel
pip install -U spacy
python -m spacy download en_core_web_sm
Always Open Anaconda Prompt / Command Prompt with Admin Rights to avoid Linking errors!!!
尝试了多种选择，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
None 自从我使用我的 公司网络 以来就一直在工作。最后，这个 命令就像一个魅力:-)
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
- 更新为最新 Link :
pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.3.1/en_core_web_sm-2.3.1.tar.gz --no-deps
感谢更新 Github Links :-)
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")
Bc 我在这里没有发现我的错误（对于使用 jupyter Notebook、Alteryx、Company Network 并遇到此错误的每个人）：
我试图用 python 创建一个用于主题检测的宏，但得到的错误是没有名为 "en_core_web_sm" 的模块
在开头使用以下代码安装以下包：
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'])
如果您引用模块使用：
进口en_core_web_sm
nlp = en_core_web_sm.load()
对我来说效果很好 :))
我正在使用 anaconda jupyter notebook，但遇到了同样的错误。 运行 在 anaconda 提示符下的命令（运行 作为管理员）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\wheelsccf9d02afc8221a668d2172446dd8467b20cdb9aef80a172a4
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 notebook 中加载如下：
nlp = spacy.load('en',parse=True,tag=True, entity=True)
如果你使用其他 python 版本，你可以 运行 :
sudo python3.6 -m spacy download en
有我，我的3.6版本
希望对您的问题有所帮助！
转到https://github.com/explosion/spacy-models
在SpaCy中下载你要加载的模型
将下载的文件粘贴到 Anaconda 文件夹中的 SpaCy 文件夹中
在那里打开cmd。输入以下命令并按回车键：
pip install en_core_web_md-1.2.0.tar.gz
以上命令可能因下载文件的版本而异。
瞧！错误消失了:)
由于您正在使用 Anaconda，请以管理员身份打开 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')
由于您使用的是 python 版本 3.6，请尝试使用 -
python3 -m spacy 下载 en
而不仅仅是 python -m .....
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')
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），那么您可以按照以下步骤操作：
以管理员身份打开 Anaconda 提示符
然后输入：python -m spacy link [包名或路径] [快捷方式]
例如，python -m spacy link /Users/you/model en
这将为您的语言模型创建一个符号link。现在您可以在笔记本或脚本中使用 spacy.load("en") 加载模型
- 您需要下载
en_core_web_sm
- 如果您正在使用
anaconda ，则 运行 此命令
conda install -c conda-forge spacy-model-en_core_web_sm- 并将其加载为
nlp= spacy.load('en_core_web_sm')
快速修复：安装一个可用的模型（例如 en_core_web_sm），然后自己制作 symlink。复制两条路径 spacy 说它不能 link （可能是由于虚拟环境 运行 没有管理员提升）并使用例如mklink 在 Windows.
例如mklink /D C:\Users\USER\PROJECT\venv2\lib\site-packages\spacy\data\en C:\Users\USER\PROJECT\venv2\lib\site-packages\en_core_web_sm
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'
我应该如何解决这个问题？
如果我不使用 sudo 下载 en 模型，我得到：
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')
通过使用 sudo python ...，您可以为与本地解释器不同的 python 解释器安装模型。事实上，它在您的日志中说 spaCy 模型安装到 /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。
哦，好吧。结果即使我的 which python 正在显示 anaconda python，当我使用 python 下载时它正在将它链接到我机器上的本地 python2.7。我使用以下命令修复了它：
$ sudo /scratch/sjn/anaconda/bin/python -m spacy download en
FINALLY CLEARED THE ERROR !!!
现在安装的最佳方式
pip install -U pip setuptools wheel
pip install -U spacy
python -m spacy download en_core_web_sm
Always Open Anaconda Prompt / Command Prompt with Admin Rights to avoid Linking errors!!!
尝试了多种选择，包括：
python -m spacy download enconda install -c conda-forge spacypython -m spacy download en_core_web_smpython -m spacy link en_core_web_sm enNone 自从我使用我的 公司网络 以来就一直在工作。最后，这个 命令就像一个魅力:-)
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- 更新为最新 Link :
pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.3.1/en_core_web_sm-2.3.1.tar.gz --no-deps
感谢更新 Github Links :-)
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")
Bc 我在这里没有发现我的错误（对于使用 jupyter Notebook、Alteryx、Company Network 并遇到此错误的每个人）：
我试图用 python 创建一个用于主题检测的宏，但得到的错误是没有名为 "en_core_web_sm" 的模块
在开头使用以下代码安装以下包：
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'])
如果您引用模块使用：
进口en_core_web_sm
nlp = en_core_web_sm.load()
对我来说效果很好 :))
我正在使用 anaconda jupyter notebook，但遇到了同样的错误。 运行 在 anaconda 提示符下的命令（运行 作为管理员）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\wheelsccf9d02afc8221a668d2172446dd8467b20cdb9aef80a172a4
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 notebook 中加载如下：
nlp = spacy.load('en',parse=True,tag=True, entity=True)
如果你使用其他 python 版本，你可以 运行 :
sudo python3.6 -m spacy download en
有我，我的3.6版本 希望对您的问题有所帮助！
转到https://github.com/explosion/spacy-models
在SpaCy中下载你要加载的模型
将下载的文件粘贴到 Anaconda 文件夹中的 SpaCy 文件夹中
在那里打开cmd。输入以下命令并按回车键：
pip install en_core_web_md-1.2.0.tar.gz
以上命令可能因下载文件的版本而异。
瞧！错误消失了:)
由于您正在使用 Anaconda，请以管理员身份打开 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')
由于您使用的是 python 版本 3.6，请尝试使用 -
python3 -m spacy 下载 en
而不仅仅是 python -m .....
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')
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），那么您可以按照以下步骤操作：
以管理员身份打开 Anaconda 提示符
然后输入：python -m spacy link [包名或路径] [快捷方式]
例如，python -m spacy link /Users/you/model en
这将为您的语言模型创建一个符号link。现在您可以在笔记本或脚本中使用 spacy.load("en") 加载模型
- 您需要下载
en_core_web_sm - 如果您正在使用
anaconda，则 运行 此命令 conda install -c conda-forge spacy-model-en_core_web_sm- 并将其加载为
nlp= spacy.load('en_core_web_sm')
快速修复：安装一个可用的模型（例如 en_core_web_sm），然后自己制作 symlink。复制两条路径 spacy 说它不能 link （可能是由于虚拟环境 运行 没有管理员提升）并使用例如mklink 在 Windows.
例如mklink /D C:\Users\USER\PROJECT\venv2\lib\site-packages\spacy\data\en C:\Users\USER\PROJECT\venv2\lib\site-packages\en_core_web_sm