I am trying to apply open() function in keras to use Google news-vectors-negative300.bin which is a pre-trained file via word2vec such as GloVe, but after downloading GloVe it contains 4 files with txt prefix vs the Google news-vectors-negative300.bin folder contains a file with binary prefix namely 'data' which is 3.4 GB. I write the commands on ubuntu 17.10 via keras with tensorflow backend on spyder with python 3.5, and after implementing the command it gave me this error:
File "/home/mary/anaconda3/envs/virenv/lib/python3.5/codecs.py", line 321, in decode (result, consumed) = self._buffer_decode(data, self.errors, final) UnicodeDecodeError: 'utf-8' codec can't decode byte 0x94 in position 19: invalid start byte.
the written code is as follow:
f = open('data').
I have already implemented the same code successfully when I applied
f = open('glove.6B.100d.txt').
What is the main problem?