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@bhaettasch
Created January 10, 2016 18:41
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Use gensim to load a word2vec model pretrained on google news and perform some simple actions with the word vectors.
from gensim.models import Word2Vec
# Load pretrained model (since intermediate data is not included, the model cannot be refined with additional data)
model = Word2Vec.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary=True, norm_only=True)
dog = model['dog']
print(dog.shape)
print(dog[:10])
# Deal with an out of dictionary word: Михаил (Michail)
if 'Михаил' in model:
print(model['Михаил'].shape)
else:
print('{0} is an out of dictionary word'.format('Михаил'))
# Some predefined functions that show content related information for given words
print(model.most_similar(positive=['woman', 'king'], negative=['man']))
print(model.doesnt_match("breakfast cereal dinner lunch".split()))
print(model.similarity('woman', 'man'))
@maifeeulasad
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try colab , not sure if they support such huge files @mamad-knight

@mamad-knight
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mamad-knight commented Mar 31, 2020

Thanks man. i'll try it. @maifeeulasad

@maifeeulasad
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Try passing the url, instead of passing the location of the file..
you may even need to write your own stream receiver too..
good luck, if I'm done, i will share..
and if anyone finishes earlier, please share..
@mamad-knight

@mamad-knight
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Thanks so much for spending time. i'll try it today or tomorrow. @maifeeulasad

@Pratikmehta1729
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Is there any API of this model so I can call it and get a vector for any word and without loading that model at my server? someone please help me with this, I am thinking this because my server can afford 4gb of ram for this model.
Thanks In advance.

@growupboron
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Since this example this deprecated, I created a Google Colab demo for the same.

@alexkamil
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alexkamil commented Mar 19, 2021

Reg "the model cannot be refined with additional data" - gensim has an online algorithm which allows to augment existing model (since 2015) https://rutumulkar.com/blog/2015/word2vec/

@senamosisa123
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AttributeError: The vocab attribute was removed from KeyedVector in Gensim 4.0.0.
Use KeyedVector's .key_to_index dict, .index_to_key list, and methods .get_vecattr(key, attr) and .set_vecattr(key, attr, new_val) instead.
See https://github.com/RaRe-Technologies/gensim/wiki/Migrating-from-Gensim-3.x-to-4

@AfricanLeo
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Google Colab demo

Thank you for the Colab demo !!

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