fasttext python
#you can install it just by pip
#pip install fasttext
#or clone it from github and run the setup.py file
#git clone https://github.com/facebookresearch/fastText.git
#then run the setup.py file
import fasttext
# Skipgram model :
model = fasttext.train_unsupervised('data.txt', model='skipgram')
# or, cbow model :
model = fasttext.train_unsupervised('data.txt', model='cbow')documentation on 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) # trainCopyright © 2021 Codeinu
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