SpaCy training language models
#Loading faster the fasttext models
There are 2 types of files you can download from fasttext
.vec - file, imported like:
from gensim.models.keyedvectors import KeyedVectors
w2v = KeyedVectors.load_word2vec_format(file_name, binary=False)
.bin - file, imported like:
from gensim.models import FastText
w2v = FastText.load_fasttext_format(file_name)
w2v.wv # use it like this
The latter method loads the word vector model in ~ 130 - 150 seconds on my machine while the first method loads the vectors in around 10 mins.