Easier way to download "en_vectors_web_lg" model in spacy
Anacoder1 opened this issue · 1 comments
Anacoder1 commented
The procedure for downloading the "en_vectors_web_lg" in spacy. by downloading and unzipping the file, and shifting it to the appropriate directory, as illustrated here is long and cumbersome.
Instead of the above procedure, we could simply do the following to load the model:
import spacy
import spacy.cli
spacy.cli.download("en_vectors_web_lg")
nlp = spacy.load('en_vectors_web_lg')
dipanjanS commented
The reason for that is two-fold
1. Spacy's CLI wasn't matured yet at the time of the book's release
2. Sometimes for proxy and other internal environments the CLI download
also might fail sometime.
However in regular environments, it's definitely a better approach to
follow as long is it works.
…On Tue, Sep 10, 2019 at 11:33 AM Anamitra Musib ***@***.***> wrote:
The procedure for downloading the *"en_vectors_web_lg"* in spacy. by
downloading and unzipping the file, and shifting it to the appropriate
directory, as illustrated here
<https://github.com/dipanjanS/practical-machine-learning-with-python/blob/master/bonus%20content/feature%20engineering%20text%20data/Feature%20Engineering%20Text%20Data%20-%20Advanced%20Deep%20Learning%20Strategies.ipynb>
is long and cumbersome.
Instead of the above procedure, we could simply do the following to load
the model:
import spacy
import spacy.cli
spacy.cli.download("en_vectors_web_lg")
nlp = spacy.load('en_vectors_web_lg')
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