Spacy: OSError: [E050] Can't find model on Google Colab | Python

Question

我正在尝试使用西班牙语核心模型 'lemmatize' 西班牙语文本 es_core_news_sm。但是，我收到 OSError.

下面的代码是在Google Colabs[=28 上使用SpaCy lemmatization 的示例=]:

import spacy spacy.prefer_gpu() nlp = spacy.load('es_core_news_sm') text = 'yo canto, tú cantas, ella canta, nosotros cantamos, cantáis, cantan…' doc = nlp(text) lemmas = [tok.lemma_.lower() for tok in doc]

我也尝试过导入核心，但没有以这种方式工作，得到了类似的回溯。

import es_core_news_sm nlp = es_core_news_sm.load()

回溯：

--------------------------------------------------------------------------- OSError Traceback (most recent call last) <ipython-input-93-fd65d69a4f87> in <module>() 2 spacy.prefer_gpu() 3 ----> 4 nlp = spacy.load('es_core_web_sm') 5 text = 'yo canto, tú cantas, ella canta, nosotros cantamos, cantáis, cantan…' 6 doc = nlp(text) 1 frames /usr/local/lib/python3.6/dist-packages/spacy/util.py in load_model(name, **overrides) 137 elif hasattr(name, "exists"): # Path or Path-like to model data 138 return load_model_from_path(name, **overrides) --> 139 raise IOError(Errors.E050.format(name=name)) 140 141 OSError: [E050] Can't find model 'es_core_web_sm'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory.

Answer 1

您首先需要下载数据：

!spacy download es_core_news_sm

然后重新启动运行时间，之后您的代码将运行正确：

import spacy
spacy.prefer_gpu()

nlp = spacy.load('es_core_news_sm')
text = 'yo canto, tú cantas, ella canta, nosotros cantamos, cantáis, cantan…'
doc = nlp(text)
lemmas = [tok.lemma_.lower() for tok in doc]
print(len(lemmas))

Spacy: OSError: [E050] Can't find model on Google Colab | Python

Spacy: OSError: [E050] Can't find model on Google Colab | Python

python

google-colaboratory

spacy

lemmatization