spacy 在 Windows 10 和 Python 3.5.3 上找不到模型“en_core_web_sm":: Anaconda 自定义(64 位) [英] spacy Can't find model 'en_core_web_sm' on windows 10 and Python 3.5.3 :: Anaconda custom (64-bit)
问题描述
spacy.load('en_core_web_sm') 和 spacy.load('en') 有什么区别?此链接 解释了不同的模型尺寸.但我仍然不清楚 spacy.load('en_core_web_sm') 和 spacy.load('en') 有何不同
what is difference between spacy.load('en_core_web_sm') and spacy.load('en')? This link explains different model sizes. But i am still not clear how spacy.load('en_core_web_sm') and spacy.load('en') differ
spacy.load('en') 对我来说运行良好.但是 spacy.load('en_core_web_sm') 抛出错误
spacy.load('en') runs fine for me. But the spacy.load('en_core_web_sm') throws error
我已经安装了 spacy 如下.当我转到 jupyter notebook 并运行命令 nlp = spacy.load('en_core_web_sm') 时，出现以下错误
i have installed spacyas below. when i go to jupyter notebook and run command nlp = spacy.load('en_core_web_sm') I get the below error
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-4-b472bef03043> in <module>()
1 # Import spaCy and load the language library
2 import spacy
----> 3 nlp = spacy.load('en_core_web_sm')
4
5 # Create a Doc object
C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder\lib\site-packages\spacy\__init__.py in load(name, **overrides)
13 if depr_path not in (True, False, None):
14 deprecation_warning(Warnings.W001.format(path=depr_path))
---> 15 return util.load_model(name, **overrides)
16
17
C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder\lib\site-packages\spacy\util.py in load_model(name, **overrides)
117 elif hasattr(name, 'exists'): # Path or Path-like to model data
118 return load_model_from_path(name, **overrides)
--> 119 raise IOError(Errors.E050.format(name=name))
120
121
OSError: [E050] Can't find model 'en_core_web_sm'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory.
我如何安装 Spacy ---
how I installed Spacy ---
(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>conda install -c conda-forge spacy
Fetching package metadata .............
Solving package specifications: .
Package plan for installation in environment C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder:
The following NEW packages will be INSTALLED:
blas: 1.0-mkl
cymem: 1.31.2-py35h6538335_0 conda-forge
dill: 0.2.8.2-py35_0 conda-forge
msgpack-numpy: 0.4.4.2-py_0 conda-forge
murmurhash: 0.28.0-py35h6538335_1000 conda-forge
plac: 0.9.6-py_1 conda-forge
preshed: 1.0.0-py35h6538335_0 conda-forge
pyreadline: 2.1-py35_1000 conda-forge
regex: 2017.11.09-py35_0 conda-forge
spacy: 2.0.12-py35h830ac7b_0 conda-forge
termcolor: 1.1.0-py_2 conda-forge
thinc: 6.10.3-py35h830ac7b_2 conda-forge
tqdm: 4.29.1-py_0 conda-forge
ujson: 1.35-py35hfa6e2cd_1001 conda-forge
The following packages will be UPDATED:
msgpack-python: 0.4.8-py35_0 --> 0.5.6-py35he980bc4_3 conda-forge
The following packages will be DOWNGRADED:
freetype: 2.7-vc14_2 conda-forge --> 2.5.5-vc14_2
Proceed ([y]/n)? y
blas-1.0-mkl.t 100% |###############################| Time: 0:00:00 0.00 B/s
cymem-1.31.2-p 100% |###############################| Time: 0:00:00 1.65 MB/s
msgpack-python 100% |###############################| Time: 0:00:00 5.37 MB/s
murmurhash-0.2 100% |###############################| Time: 0:00:00 1.49 MB/s
plac-0.9.6-py_ 100% |###############################| Time: 0:00:00 0.00 B/s
pyreadline-2.1 100% |###############################| Time: 0:00:00 4.62 MB/s
regex-2017.11. 100% |###############################| Time: 0:00:00 3.31 MB/s
termcolor-1.1. 100% |###############################| Time: 0:00:00 187.81 kB/s
tqdm-4.29.1-py 100% |###############################| Time: 0:00:00 2.51 MB/s
ujson-1.35-py3 100% |###############################| Time: 0:00:00 1.66 MB/s
dill-0.2.8.2-p 100% |###############################| Time: 0:00:00 4.34 MB/s
msgpack-numpy- 100% |###############################| Time: 0:00:00 0.00 B/s
preshed-1.0.0- 100% |###############################| Time: 0:00:00 0.00 B/s
thinc-6.10.3-p 100% |###############################| Time: 0:00:00 5.49 MB/s
spacy-2.0.12-p 100% |###############################| Time: 0:00:10 7.42 MB/s
(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>python -V
Python 3.5.3 :: Anaconda custom (64-bit)
(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>python -m spacy download en
Collecting 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#egg=en_core_web_sm==2.0.0
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 ...
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
C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder\lib\site-packages\en_core_web_sm
-->
C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder\lib\site-packages\spacy\data\en
You can now load the model via spacy.load('en')
(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>
推荐答案
解决您的误解是一个 Unix 概念，软链接，我们可以说它在 Windows 中类似于快捷方式.让我们解释一下.
The answer to your misunderstanding is a Unix concept, softlinks which we could say that in Windows are similar to shortcuts. Let's explain this.
当您spacy download en 时，spaCy 会尝试找到与您的 spaCy 分布相匹配的最佳小型模型.我正在谈论的小模型默认为 en_core_web_sm 可以在对应于不同 spaCy 版本的不同变体中找到(例如 spacy、spacy-nightly 有不同大小的 en_core_web_sm).
When you spacy download en, spaCy tries to find the best small model that matches your spaCy distribution. The small model that I am talking about defaults to en_core_web_sm which can be found in different variations which correspond to the different spaCy versions (for example spacy, spacy-nightly have en_core_web_sm of different sizes).
当 spaCy 找到最适合您的模型时，它会下载它，然后将名称en链接到它下载的包，例如en_core_web_sm.这基本上意味着，每当您提到 en 时，您都会提到 en_core_web_sm.换句话说，链接后的en 不是真正的"包，只是en_core_web_sm 的一个名称.
When spaCy finds the best model for you, it downloads it and then links the name en to the package it downloaded, e.g. en_core_web_sm. That basically means that whenever you refer to en you will be referring to en_core_web_sm. In other words, en after linking is not a "real" package, is just a name for en_core_web_sm.
然而，它不能以其他方式工作.您不能直接引用 en_core_web_sm，因为您的系统不知道您已安装它.当您执行 spacy download en 时，您基本上进行了 pip 安装.所以 pip 知道你为你的 python 发行版安装了一个名为 en 的包，但对包 en_core_web_sm 一无所知.这个包只是在你导入时替换包en，这意味着包en只是一个到en_core_web_sm的软链接.
However, it doesn't work the other way. You can't refer directly to en_core_web_sm because your system doesn't know you have it installed. When you did spacy download en you basically did a pip install. So pip knows that you have a package named en installed for your python distribution, but knows nothing about the package en_core_web_sm. This package is just replacing package en when you import it, which means that package en is just a softlink to en_core_web_sm.
当然可以直接下载en_core_web_sm，使用命令:python -m spacy download en_core_web_sm，也可以链接名字en 也适用于其他型号.例如，您可以执行 python -m spacy download en_core_web_lg，然后执行 python -m spacy link en_core_web_lg en.那会让en en_core_web_lg 的名称，它是英语语言的大型 spaCy 模型.
Of course, you can directly download en_core_web_sm, using the command: python -m spacy download en_core_web_sm, or you can even link the name en to other models as well. For example, you could do python -m spacy download en_core_web_lg and then python -m spacy link en_core_web_lg en. That would make
en a name for en_core_web_lg, which is a large spaCy model for the English language.
希望现在很清楚:)
这篇关于spacy 在 Windows 10 和 Python 3.5.3 上找不到模型“en_core_web_sm":: Anaconda 自定义(64 位)的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
