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Spacy在Windows 10和Python 3.5.3 :: Anaconda custom (64-bit)上找不到'en_core_web_sm'模型。

pythonpython-3.xnlpspacy
137
什么是spacy.load('en_core_web_sm')和spacy.load('en')之间的区别？ 这个链接解释了不同的模型大小。但我仍然不清楚spacy.load('en_core_web_sm')和spacy.load('en')有什么区别。 spacy.load('en')对我来说运行良好。但spacy.load('en_core_web_sm')会抛出错误。
我已经按照以下方式安装了spacy。当我进入jupyter笔记本并运行命令nlp=spacy.load('en_core_web_sm')时，我收到以下错误消息。
---------------------------------------------------------------------------
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 ---

(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>
7
我有几个可能的想法，可以解决这个问题。首先，尝试重新下载模型：python -m spacy download en_core_web_sm。 - Qusai Alothman
2
顺便提一下，'en' 的默认值是 'en_core_web_sm'，因此它们实际上是相同的。请参见这个链接。 - Qusai Alothman
3
只需执行 python -m spacy download en_core_web_sm 命令即可。 - Prasanth Rajendran
34个回答
0
这对我有用： conda install -c conda-forge spacy-model-en_core_web_sm
同 https://dev59.com/B1QJ5IYBdhLWcg3wNjEh#66528792 - Mohnish
0
In jupyter notebook

!python -m spacy download en.  
import spacy. 
nlp = spacy.load('en_core_web_sm')
0
最好按照官方spacy文档（https://spacy.io/usage）进行安装：
首先卸载您当前的spacy版本。
pip uninstall spacy

然后正确安装pacy。
pip install -U pip setuptools wheel
pip install -U spacy
python -m spacy download en_core_web_sm
0
这个会起作用的-
try:
    nlp = spacy.load("en_core_web_trf")
except:
    print("Downloading spaCy NLP model...")
    print("This may take a few minutes and it's one time process...")
    os.system(
        "pip install https://huggingface.co/spacy/en_core_web_trf/resolve/main/en_core_web_trf-any-py3-none-any.whl")
    nlp = spacy.load("en_core_web_trf")

示例/使用方法-
import spacy
import os

try:
    nlp = spacy.load("en_core_web_trf")
except:
    print("Downloading spaCy NLP model...")
    print("This may take a few minutes and it's one time process...")
    os.system("pip install https://huggingface.co/spacy/en_core_web_trf/resolve/main/en_core_web_trf-any-py3-none-any.whl")
    nlp = spacy.load("en_core_web_trf")


def perform_ner(*args, **kwargs):
    query = kwargs['query']
    # Process the input text with spaCy NLP model
    doc = nlp(query)

    # Extract named entities and categorize them
    entities = [(entity.text, entity.label_) for entity in doc.ents]

    return entities


if __name__ == "__main__":
    # Example input text
    input_text = "I want to buy a new iPhone 12 Pro Max from Apple."

    # Perform NER on input text
    entities = perform_ner(query=input_text)

    # Print the extracted entities
    print(entities)
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