How to count number of word embeddings in Gensim Word2Vec model Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsHow word2vec can be used to identify unseen words and relate them to already trained dataNumber of epochs in Gensim Word2Vec implementationHow to initialize a new word2vec model with pre-trained model weights?How to handle Memory issues in training Word Embeddings on Large Datasets?Word2Vec Alternative for Smaller DatasetsLearning character embeddings with GenSimWeighted sum of word vectors for document similarityReducing text input size into word2vec without affecting performance too badly?What is the minimum number of times a word needs to appear in word2vec training corpus for quality results?Skip-thought models applied to phrases instead of sentences
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How to count number of word embeddings in Gensim Word2Vec model
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsHow word2vec can be used to identify unseen words and relate them to already trained dataNumber of epochs in Gensim Word2Vec implementationHow to initialize a new word2vec model with pre-trained model weights?How to handle Memory issues in training Word Embeddings on Large Datasets?Word2Vec Alternative for Smaller DatasetsLearning character embeddings with GenSimWeighted sum of word vectors for document similarityReducing text input size into word2vec without affecting performance too badly?What is the minimum number of times a word needs to appear in word2vec training corpus for quality results?Skip-thought models applied to phrases instead of sentences
$begingroup$
I am trying to create a Word2Vec model of the the Pub Med Central corpus using the Gensim library and want to limit the total number of word embeddings to around 1 billion.
I have searched high and low and am unable to find out a) How to count the total number of word-embeddings in a saved model, and b) how to limit the total number of embeddings when training the model (once I hit 1 billion, then stop).
Please forgive my simpleton questions.
word2vec word-embeddings gensim
$endgroup$
bumped to the homepage by Community♦ 32 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I am trying to create a Word2Vec model of the the Pub Med Central corpus using the Gensim library and want to limit the total number of word embeddings to around 1 billion.
I have searched high and low and am unable to find out a) How to count the total number of word-embeddings in a saved model, and b) how to limit the total number of embeddings when training the model (once I hit 1 billion, then stop).
Please forgive my simpleton questions.
word2vec word-embeddings gensim
$endgroup$
bumped to the homepage by Community♦ 32 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I am trying to create a Word2Vec model of the the Pub Med Central corpus using the Gensim library and want to limit the total number of word embeddings to around 1 billion.
I have searched high and low and am unable to find out a) How to count the total number of word-embeddings in a saved model, and b) how to limit the total number of embeddings when training the model (once I hit 1 billion, then stop).
Please forgive my simpleton questions.
word2vec word-embeddings gensim
$endgroup$
I am trying to create a Word2Vec model of the the Pub Med Central corpus using the Gensim library and want to limit the total number of word embeddings to around 1 billion.
I have searched high and low and am unable to find out a) How to count the total number of word-embeddings in a saved model, and b) how to limit the total number of embeddings when training the model (once I hit 1 billion, then stop).
Please forgive my simpleton questions.
word2vec word-embeddings gensim
word2vec word-embeddings gensim
edited Aug 18 '18 at 20:47
horcle_buzz
asked Aug 18 '18 at 18:36
horcle_buzzhorcle_buzz
1114
1114
bumped to the homepage by Community♦ 32 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 32 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
1 Answer
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Alright, after digging around in methods available to my loaded Word2Vec model I believe the answer is len(model.wv.vectors)
...
$endgroup$
add a comment |
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1 Answer
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1 Answer
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oldest
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$begingroup$
Alright, after digging around in methods available to my loaded Word2Vec model I believe the answer is len(model.wv.vectors)
...
$endgroup$
add a comment |
$begingroup$
Alright, after digging around in methods available to my loaded Word2Vec model I believe the answer is len(model.wv.vectors)
...
$endgroup$
add a comment |
$begingroup$
Alright, after digging around in methods available to my loaded Word2Vec model I believe the answer is len(model.wv.vectors)
...
$endgroup$
Alright, after digging around in methods available to my loaded Word2Vec model I believe the answer is len(model.wv.vectors)
...
answered Aug 18 '18 at 20:03
horcle_buzzhorcle_buzz
1114
1114
add a comment |
add a comment |
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