spacy Can't find model 'en_core_web_sm' on windows 10 and Python 3.5.3 :: Anaconda custom (64-bit)

Question

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') runs fine for me. But the spacy.load('en_core_web_sm') throws error

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.

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>

Solution 1

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.

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).

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.

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.

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.

Hope it is clear now :)

Solution 2

Initially I downloaded two en packages using following statements in anaconda prompt.

python -m spacy download en_core_web_lg
python -m spacy download en_core_web_sm

But, I kept on getting linkage error and finally running below command helped me to establish link and solved error.

python -m spacy download en

Also make sure you to restart your runtime if working with Jupyter. -PS : If you get linkage error try giving admin previlages.

Solution 3

The below worked for me :

import en_core_web_sm

nlp = en_core_web_sm.load()

Solution 4

For those who are still facing problems even after installing it as administrator from Anaconda prompt, here's a quick fix:

1. Got to the path where it is downloaded. For e.g.

   C:\Users\name\AppData\Local\Continuum\anaconda3\Lib\site-packages\en_core_web_sm\en_core_web_sm-2.2.0
   

2. Copy the path.

3. Paste it in:

   nlp = spacy.load(r'C:\Users\name\AppData\Local\Continuum\anaconda3\Lib\site-packages\en_core_web_sm\en_core_web_sm-2.2.0')
   

4. Works like a charm :)

PS: Check for spacy version

Solution 5

Using the Spacy language model in Colab requires only the following two steps:

1. Download the model (change the name according to the size of the model)

!python -m spacy download en_core_web_lg 

2. Restart the colab runtime! Perform shortcut key： Ctrl + M + .

Test

import spacy
nlp = spacy.load("en_core_web_lg")

successful!!!

View more solutions

Comments

[Qusai Alothman]

I have a couple of possible ideas where the issue is.. First, try to re-download the model: python -m spacy download en_core_web_sm

[Qusai Alothman]

By the way, 'en' defaults to 'en_core_web_sm', so they are actually identical. See this.

[Prasanth Rajendran]

Just execution of python -m spacy download en_core_web_sm command is more than enough

[AlketCecaj]

Yes, it works! I'm using Spacy with a MacBook pro. What I needed was the module en_core_web_lg

[arranjdavis]

This worked for me too. In terminal, on my MacBook, I ran both python -m spacy download en_core_web_lg and python -m spacy download en_core_web_sm but continued to get the OSError: [E050] Can't find model 'en'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory. error in Python when entering spacy.load('en') and spacy.load('en_core_web_lg'). Running python -m spacy download en in terminal and then spacy.load('en') in Python, I was able to load the model.

[Yev Guyduy]

fyi for step #2 its conda activate myspacyenv.

[Anuj Sharma]

Can anyone please tell if this is correct or not? because it worked and nothing else above.

[dcsan]

awesome, this was what I was looking for. Have you found a way to cURL the tar files down? I think github does some kind of redirect to prevent people using it as a file storage.

[wawawa]

I pasted in but got error OSError: [E049] Can't find spaCy data directory: 'None'. Check your installation and permissions, or use spacy.util.set_data_path to customise the location if necessary., do you know what's going on?

[Rob]

Yes! This works in PyCharm. Not sure why they show load method and then this version, like why is there two load methods.

[Prasanth Rajendran]

incase if you anyone got an error (No module named 'en_core_web_sm') after trying the above command then also execute answer

[viktor_vangel]

I was still unable to fix the issue until @talha-tayyab suggested a runtime restart. Kudoz to all of you, guys! stackoverflow.com/a/68012945/537648

[Mohnish]

Same as stackoverflow.com/a/66528792/7709603

[Benny]

When I try this, it gives me a syntax error for the word spacy

[Zhu Weiji]

If this solution works for you then you can find out the path of the module using print(en_core_web_sm.__file__) and check that it is installed in the correct version of python that you want to be using