Documentação no FastText Gensim Python

>>> from gensim.models import FastText
>>> from gensim.test.utils import common_texts  # some example sentences
>>>
>>> print(common_texts[0])
['human', 'interface', 'computer']
>>> print(len(common_texts))
9
>>> model = FastText(vector_size=4, window=3, min_count=1)  # instantiate
>>> model.build_vocab(sentences=common_texts)
>>> model.train(sentences=common_texts, total_examples=len(common_texts), epochs=10)  # train
Fair Fox