Import GoogleNews-vectors-negative300.bin

Here is what worked for me. I loaded a part of the model and not the entire model as it's huge.

!pip install wget

import wget
url = 'https://s3.amazonaws.com/dl4j-distribution/GoogleNews-vectors-negative300.bin.gz'
filename = wget.download(url)

f_in = gzip.open('GoogleNews-vectors-negative300.bin.gz', 'rb')
f_out = open('GoogleNews-vectors-negative300.bin', 'wb')
f_out.writelines(f_in)

import gensim
from gensim.models import Word2Vec, KeyedVectors
from sklearn.decomposition import PCA

model = KeyedVectors.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary=True, limit=100000)

The below commands work.

brew install wget

wget -c "https://s3.amazonaws.com/dl4j-distribution/GoogleNews-vectors-negative300.bin.gz"

This downloads the GZIP compressed file that you can uncompress using:

gzip -d GoogleNews-vectors-negative300.bin.gz

You can then use the below command to get wordVector.

from gensim import models

w = models.KeyedVectors.load_word2vec_format(
    '../GoogleNews-vectors-negative300.bin', binary=True)

try this -

import gensim.downloader as api

wv = api.load('word2vec-google-news-300')

vec_king = wv['king']

also, visit this link : https://radimrehurek.com/gensim/auto_examples/tutorials/run_word2vec.html#sphx-glr-auto-examples-tutorials-run-word2vec-py

you have to write the complete path.

use this path:

https://s3.amazonaws.com/dl4j-distribution/GoogleNews-vectors-negative300.bin.gz