/Python/Documentation on fasttext gensim python

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)  # train

Source: radimrehurek.com

Similar codes

15 votes232 views3 answers
Not in pandas condition
Python
0 vote254 views1 answer
How can item in list change in int in python
Python
0 vote193 views1 answer
Python concatenate dictionaries
Python
8 votes230 views2 answers
How to break a list unequal size chunks in python
Python
0 vote215 views1 answer
File "pandas/_libs/index.pyx", line 465, in pandas._libs.index.DatetimeEngine.get_loc KeyError: Timestamp('2019-01-02 07:09:00')
Python
6 votes245 views2 answers
Vscode python multiline comment
Python
0 vote223 views1 answer
Multiple bar graph in python
Python
12 votes259 views4 answers
Couldn't find a tree builder with the features you requested: lxml. Do you need to install a parser library?
Python
2 votes242 views1 answer
Truncate templat tag django
Python
0 vote255 views1 answer
Migrate using other database django
Python