Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Fix example block for gensim.models.Word2Vec #1876

Merged
merged 1 commit into from
Feb 5, 2018
Merged

Fix example block for gensim.models.Word2Vec #1876

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 6 additions & 6 deletions gensim/models/word2vec.py
100644 → 100755
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -36,14 +36,14 @@
array([-0.00449447, -0.00310097, 0.02421786, ...], dtype=float32)

The word vectors can also be instantiated from an existing file on disk in the word2vec C format
as a KeyedVectors instance::
as a KeyedVectors instance.

NOTE: It is impossible to continue training the vectors loaded from the C format because hidden weights,
vocabulary frequency and the binary tree is missing::
NOTE: It is impossible to continue training the vectors loaded from the C format because hidden weights,
vocabulary frequency and the binary tree is missing::

>>> from gensim.models import KeyedVectors
>>> word_vectors = KeyedVectors.load_word2vec_format('/tmp/vectors.txt', binary=False) # C text format
>>> word_vectors = KeyedVectors.load_word2vec_format('/tmp/vectors.bin', binary=True) # C binary format
>>> from gensim.models import KeyedVectors
>>> word_vectors = KeyedVectors.load_word2vec_format('/tmp/vectors.txt', binary=False) # C text format
>>> word_vectors = KeyedVectors.load_word2vec_format('/tmp/vectors.bin', binary=True) # C binary format


You can perform various NLP word tasks with the model. Some of them
Expand Down