dipanjanS
commented
5 years ago The reason for that is two-fold
- Spacy's CLI wasn't matured yet at the time of the book's release
- 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 notifications@github.com 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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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 spacyimport spacy.clispacy.cli.download("en_vectors_web_lg")nlp = spacy.load('en_vectors_web_lg')