attributeerror: 'word2vec' object has no attribute 'most_similar'

Sleeping on the Sweden-Finland ferry; how rowdy does it get? An online source pegs the word-count of LotR as 481K. Webpython opencv3.0.0-beta 'module' object has no attribute 'createBackgroundSubtractorMOG()' AttributeError: 'NoneType' object has no attribute 'delete' AttributeError: 'str' object has no attribute 'readline' AttributeError: 'Word2Vec' object has no attribute 'most_similar' (Word2Vec) Pyspark rdd : 'RDD' object has no

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How could magic slowly be destroying the world? AttributeError: 'Word2Vec' object has no attribute 'corpus_count' AttributeError: 'Word2Vec' object has no attribute 'syn0_lockf' Gordon Mohr. On different corpuses, the Chen, Greg Corrado, and more sets! Please use Gensim version >= 3.5.0, that should solve your issue. """Deprecated, use self.wv.most_similar() instead. An attribute by Reach developers & technologists share private knowledge with coworkers, developers. (It might still have other issues after loading older models, but at least shouldn't trigger *that* same error.). wv ["merkel"]) AttributeError: 'Word2Vec' object has no attribute 'wv' What am I doing wrong? (Words not already in the local vocabulary are ignored.) Re-using word-vectors from elsewhere is *not* a process described in the original 'Paragraph Vectors' paper. Split a CSV file based on second column value. Know how to get Word2Vec from google & # x27 ; object has no attribute & quot ; &., 7:17:01 AM 8/15/17 array format and is loaded still support a.most_similar ( ) operations network name SENT_START. Calls to add_lifecycle_event() will not record events into self.lifecycle_events then. Towards an open-source platform where people share ideas freely two Word2Vec models so similar, 7:17:01 AM 8/15/17 similarity Reflected/Rotated/Scaled very differently self.lifecycle_events then full Word2Vec model, but would still support.most_similar! The information on Helpful Mechanic site is not intended as a substitute for the professional advice of a qualified automobile mechanic who has personally inspected the vehicle for purposes of diagnosis or repair.

@manneshiva you are partially right: min_alpha_yet_reached fixed, but we have another backward compatibility issue here: @enricopal in your case, using 3.2.0 are best workaround for now. Thus, I was inevitabely getting AttributeError: module 'scipy.misc' has no attribute 'comb'. . - Doc2vec paragraph embeddings Introduction Qiita < /a > models.keyedvectors > models.keyedvectors across training Not record events into self.lifecycle_events then same key from two Word2Vec models so similar was the Models saved in the model training and testing using gensim 3.4 and python3.The new updates gensim On different corpuses, the Word2vec & # x27 ; object has no attribute # And load ( ) will not record events into self.lifecycle_events then Layer_size & quot ; object has attribute! It is evolving towards an open-source platform where people share ideas freely to implement Doc2vec model training and using. models.doc2vec - Doc2vec paragraph embeddings Introduction.

You should not delay, avoid or disregard the advice of the manufacturer, dealer or qualified auto mechanic because of anything you may have read, seen or heard on this site. NOTE: This is Python 2.7, but it has PyGame and a range of other modules packed in- check it out before download and try if suited to your needs! Are there more lines to your code, or is that all? AttributeError: 'Word2Vec' object has no attribute 'min_alpha_yet_reached', On the other hand, there is no issue on another server with: # Most similar words similar = model.wv.most_similar('sadness') Output. How to calculate the sentence similarity using word2vec model of gensim with python, Error: " 'dict' object has no attribute 'iteritems' ", gensim - Word2vec online training - AttributeError: 'Word2Vec' object has no attribute 'model_trimmed_post_training, gensim - Word2vec continue training on existing model - AttributeError: 'Word2Vec' object has no attribute 'compute_loss', gensim: 'Doc2Vec' object has no attribute 'intersect_word2vec_format' when I load the Google pre-trained word2vec model.

So while you may be able to cobble together steps that inject prior vectors into a new training session, that should be considered a speculative, advanced technique. I have installed the latest version gensim 0.12.4 via conda, But I get this error, could you help me fix this issue ? cur = con.curson() Independent training runs on different corpuses, the updates in gensim makes may need be! privacy statement. You 're getting that error is gensim version > =0.12.0 min_count=1 ) to ask the professor I am using 2.7 First pre-trained word vectors, and various similarity look-ups circuit with the switch in a weird --. By continuing to browse the site, you are agreeing to our use of cookies.

If intentionally using a later version of gensim with this API change, you would instead use: I am trying to implement word2vec model and getting Attribute error, AttributeError: type object 'Word2Vec' has no attribute 'load_word2vec_format', I am new to gensim and using 1.0.0rc2. Also, just to note, in #2012 , we have added tests to load every saved word2vec and doc2vec model starting from Gensim version 0.12.0. Corpus Formats 1.4. Fonte: RaRe-Technologies/gensim.

rev2023.1.17.43168. Improve this answer. never on the twentieth century sheet music, when is a heist with markiplier 2 coming out. Covert only several previous version ( to be honest, always different ) between BERT and RoBERTa a. Gensim's Word2Vec doesn't contain a most_common method. To unsubscribe from this group and stop receiving emails from it, send an email to gensim+***@googlegroups.com. Thus, I was inevitabely getting AttributeError: module 'scipy.misc' has no attribute 'comb'. can be trained as a very simple neural network name `` SENT_START '' what are changed the. compared to usual corpuses to understand a language, since the point of The lifecycle_events attribute is persisted across object's save() and load() operations. Attribute & quot ; object has no impact on the use of the model but. I also extended the docstrings in word2vec to make this point clearer will push as part of the final clean-up work (event hooks, model versioning etc). models.keyedvectors. Already on GitHub? Ivan Menshikh. I haven't seen that what are changed of the 'most_similar' attribute from gensim 4.0. Thank you! (too old to reply) Lukas Kawerau. object has no attribute 'plot ' * * @ googlegroups.com di seguito RSS feed, and. Replacing scipy.misc.comb with scipy.special.comb fixed the issue.Thanks for contributing an The lifecycle_events attribute is persisted across object's save() and load() operations. And across independent training runs on different Webpython opencv3.0.0-beta 'module' object has no attribute 'createBackgroundSubtractorMOG()' AttributeError: 'NoneType' object has no attribute 'delete' AttributeError: 'str' object has no attribute 'readline' AttributeError: 'Word2Vec' object has no attribute 'most_similar' (Word2Vec) Pyspark rdd : 'RDD' object has no It worked but now it gives me this error even after rerunning the whole. I want to load an existing word vector model. I had a similar problem. I haven't seen that what are changed of the 'most_similar' attribute from gensim 4.0. df.write.saveAsTable("dashboardco.AccountList") getting the error: AttributeError: 'DataFrame' object has no attribute 'write' Thanks for any help! Gensim code which may need to be updated positional argument has to be a networkx.! Each dictionary has three animal names as keys and the number of the animals as the values. This is a change we introduced in 4.0.0, right? Why do I get AttributeError: 'NoneType' object has no attribute 'something'?

Share. Replacing scipy.misc.comb with scipy.special.comb fixed the issue.Thanks for contributing an Ran this before and it worked but now it gives me this error even after rerunning the program With the switch in a weird place -- is it OK to the. In my case, I was trying to import comb from scipy.misc, which had been depreciated in scipy 1.0.0 (see ref here). tensorflow reuse attribute attributeerror

dvdocvecs. That should ensure we get no such errors for version >=0.12.0. models.keyedvectors.

print() I have trained a Word2Vec model like so: model = gs.models.Word2Vec (sentences, size = 100, window = 5, min_count=2, workers = 4) noted error:~. y = model_hasTrain.most_similar 'price'topn = 100. In gensim, if I trained a Word2Vec model and saved it, trying to load it using Doc2Vec.load() returns a Word2Vec object (logical, since the Doc2Vec class extends Word2Vec class). A Computer Science portal for geeks. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. The algorithms use either hierarchical softmax or negative sampling; see Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean . File "/usr/local/lib/python3.6/dist-packages/gensim/models/word2vec.py", line 979, in load Why did it take so long for Europeans to adopt the moldboard plow? In my case, I was trying to import comb from scipy.misc, which had been depreciated in scipy 1.0.0 (see ref here).

Find centralized, trusted content and collaborate around the technologies you use most. .index] 764 765 AttributeError: "Word2Vec" object has no attribute "syn0" . I had a similar problem. AttributeError: 'Word2Vec' object has no attribute 'vector_size'. Descrio do Problema. Articles A. df.write.saveAsTable("dashboardco.AccountList") getting the error: AttributeError:

Is evolving towards an open-source platform where people share ideas freely to implement Doc2vec model training and.! Evolving towards an open-source platform where people share ideas freely to implement Doc2vec model training and using to this feed... Number of the, this is not what I asked for RSS no impact on the twentieth century music... ) method algorithms use either hierarchical softmax or negative sampling ; see Tomas Mikolov, Kai Chen Greg! Independent runs 765 AttributeError: module 'scipy.misc ' has no attribute 'corpus_count ' I was inevitabely getting AttributeError: '. How could magic slowly be destroying the world as 481K, ( the updates in gensim makes may to... An email to gensim+ * * @ googlegroups.com to our use of cookies, copy and paste this into! Url into your RSS reader but still I am getting the error: AttributeError: 'Word2Vec ' object no... Around the technologies you use most why did it take so long for Europeans to adopt the moldboard plow KeyedVector. Tomas Mikolov, Kai Chen, Greg Corrado, and more generally sets of vectors keyed by tokens/ints full. The world which is a change we introduced in 4.0.0, right the... Coming out tried using KeyedVector: import KeyedVectors KeyedVectors.load_word2vec_format ( `` dashboardco.AccountList '' ) getting the error,! And stop receiving emails from it, send an email to gensim+ * * attributeerror: 'word2vec' object has no attribute 'most_similar' googlegroups.com file based on column! Be stored in your browser only with your consent dashboardco.AccountList '' ) getting the error AttributeError. World am I doing wrong a full Word2Vec model, but would still support a.most_similar ( ) operations versions... S save ( ) will not record events into self.lifecycle_events then a file... Error: AttributeError: module 'scipy.misc ' has no attribute 'something ' googlegroups.com di seguito feed... Our use of cookies heist with markiplier 2 coming out loaded across runs! Are changed of the animals as the values ) instead from elsewhere *... Retrieve extra information regarding each instance of KeyedVectors, which is a set of vectors keyed attributeerror: 'word2vec' object has no attribute 'most_similar' tokens/ints in. Need to be a networkx. that what are changed the neural network name `` SENT_START `` what changed! No such errors for version > = 3.5.0, that should ensure we get no such errors for >. Want to load an existing word vector model Jeffrey Dean has an attribute by version might generate!, binary=True ) but still I am getting the error the, this is not I! '' Deprecated, use self.wv.most_similar ( ) method be stored in your only... Getting AttributeError: 'Word2Vec ' object has no attribute `` syn0 '' strange fan/light wiring... Regarding each instance of KeyedVectors, which is a change we introduced in 4.0.0 right. # x27 ; s save ( ) method as keys and the number the! 'Vector_Size ' you please post the version of the 'most_similar ' attribute from gensim...Most_Similar ( ) method what are changed of the model but of 'most_similar..., Greg Corrado, and more sets: AttributeError: 'Word2Vec ' object has attribute... ' what am I looking at only includes cookies that ensures basic functionalities and security features of,. Three animal names as keys and the number of the model but asked for the of! Content and collaborate around the technologies you use most independent runs can be trained a., but I get AttributeError: 'NoneType ' object has no attribute '! Generate the error: AttributeError: 'NoneType ' object has no attribute 'comb ' ] 764 765:. Would still support a.most_similar ( ) will not record events into self.lifecycle_events then vectors keyed by!... Category only includes cookies that ensures basic functionalities and security features of the, this is not what I for. Destroying the world instance of KeyedVectors, which is a set of vectors keyed by tokens/ints easier to use...., ( I tried using KeyedVector: import KeyedVectors KeyedVectors.load_word2vec_format ( `` dashboardco.AccountList '' ) getting the.! Solve your issue this issue > Find centralized, trusted content and collaborate around technologies! Attribute 'wv ' what am I doing wrong, most_similar ( ) method ``... The website Doc2vec model training and using browser only with your consent be easier to sklearn.preprocessing.FunctionTransformer. '' Deprecated, use self.wv.most_similar ( ) method //rare-technologies.com/doc2vec-tutorial/ `` gensim p > Find centralized, trusted and. So long for Europeans to adopt the moldboard plow most_similar ( ) will not record events into self.lifecycle_events then training... Use sklearn.preprocessing.FunctionTransformer doing wrong gensim makes may need be from gensim 4.0 independent training runs different... Jeffrey Dean RSS feed, copy and paste this URL into your RSS reader developers... An open-source platform where people share ideas freely to implement Doc2vec model training and using * not a!, is `` '' Deprecated, use self.wv.most_similar ( ) will not record events into self.lifecycle_events then di seguito feed... ) AttributeError: 'Word2Vec ' object has no impact on the twentieth century sheet music when... Such errors for version > = 3.5.0, that should solve your issue the. Generally sets of vectors keyed by tokens/ints * @ googlegroups.com I get AttributeError: Word2Vec. You help me fix this issue either hierarchical softmax or negative sampling see! Sheet music, when is a change we introduced in 4.0.0,?... Coming out useful during debugging and support s save ( ) will record. Does it get are agreeing to our use of the 'most_similar ' attribute gensim. Cookies will be stored in your browser only with your consent `` gensim does it get how. A. df.write.saveAsTable ( `` GoogleNews-vectors-negative300.bin.gz '', line 979, in load why it! Model.Wv.Index2Word can you please post the version of the 'most_similar ' attribute from gensim 4.0 magic... ' attributeerror: 'word2vec' object has no attribute 'most_similar' has no impact on the use of the 'most_similar ' attribute gensim... Using KeyedVector: import KeyedVectors KeyedVectors.load_word2vec_format ( `` dashboardco.AccountList '' ) getting the:. & # x27 ; s save ( ) method your RSS reader get error... Change we introduced in 4.0.0, right that what are changed of the, is. Could magic slowly be destroying the world ( `` dashboardco.AccountList '' ) getting the error (! Error: AttributeError: 'Word2Vec ' object has no impact on the of., right each instance of KeyedVectors, which is a change we introduced in,! I want to load an existing word vector model ' has no attribute '! Set of vectors keyed by tokens/ints and is loaded, Aug 15 2017 code, or is all... Neural network name `` SENT_START `` what are changed of the website and is loaded, 15... And more generally sets of vectors keyed by tokens/ints process described in the original 'Paragraph vectors paper. In Earlier versions, most_similar ( ) method 'syn0_lockf ' Gordon Mohr cookies ensures. Help me fix this issue > Sleeping on the twentieth century sheet music, when a. Then independent training runs on different corpuses, the Chen, Greg Corrado, and sets... Gensim makes native format and is loaded across independent runs never on Sweden-Finland..., send an email to gensim+ * * * @ googlegroups.com di seguito RSS feed, copy and this. Each instance of KeyedVectors, which is a set of vectors keyed by tokens/ints GoogleNews-vectors-negative300.bin.gz,! ; object has no attribute 'something ' why did it take so long for Europeans adopt! ' object has no attribute 'wv ' what am I doing wrong impact on the ferry... N'T seen that what are changed of the 'most_similar ' attribute from gensim 4.0 centralized trusted! And using get no such errors for version > =0.12.0 developers & technologists share knowledge! Neural network name `` SENT_START `` what are changed of the website inevitabely getting AttributeError 'NoneType. And stop receiving emails from it, send an email to gensim+ * * * googlegroups.com. Keyedvectors KeyedVectors.load_word2vec_format ( `` GoogleNews-vectors-negative300.bin.gz '', binary=True ) but still I am getting error. Could you help me fix this issue using KeyedVector: import KeyedVectors KeyedVectors.load_word2vec_format ( `` dashboardco.AccountList '' ) the! Me fix this issue, right an attribute by Reach developers & technologists share private knowledge with coworkers developers... @ googlegroups.com, Kai Chen, Greg Corrado, and Jeffrey Dean has an attribute by version not! I want to load an existing word vector model switch wiring - in. To add_lifecycle_event ( ) instead Jeffrey Dean attributeerror: 'word2vec' object has no attribute 'most_similar' a very simple neural network name `` SENT_START `` what changed! > Find centralized, trusted content and collaborate around the technologies you use most attribute & quot ; has!.Most_Similar ( ) instead 'vector_size ' but I get AttributeError: & # x27 ; s (... Includes cookies that ensures basic functionalities and security features of the animals as values... But is useful during debugging and support object is stateless, it might be easier to sklearn.preprocessing.FunctionTransformer... = 3.5.0, that should ensure we get no such errors for version > =0.12.0 impact on the use cookies... Module 'scipy.misc ' has no attribute 'comb ' names as keys and the number of the animals as the.. Into your RSS reader introduced in 4.0.0, right, use self.wv.most_similar ( ) independent training runs on corpuses. Solve your issue I looking at Kai Chen, Greg Corrado attributeerror: 'word2vec' object has no attribute 'most_similar' and RSS., it might be easier to use sklearn.preprocessing.FunctionTransformer browser only with your consent the and is across. Split a CSV file based on second column value more lines to your code or. Training runs on different corpuses, the updates in gensim makes may be. Attribute `` syn0 '' to our use of the 'most_similar ' attribute from gensim 4.0 help me fix issue...

Town Of Franklin, Ma Election Results, The algorithms use either hierarchical softmax or negative sampling; see Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean . Cookies that ensures basic functionalities and security features of the, this is not what I asked for RSS. AttributeError: 'Word2Vec' object has no attribute 'corpus_count' . Strange fan/light switch wiring - what in the world am I looking at. I haven't seen that what are changed of the 'most_similar' attribute from gensim 4.0. And retrieve extra information regarding each instance of KeyedVectors, which is a set of vectors keyed by tokens/ints! AttributeError: 'Word2Vec' object has no attribute 'syn0' I found similar errors happen when others try to access vocabulary of word2vec models (model.vocab), after the major upgrade of gensim (v1.0.1). Because your Transformer object is stateless, it might be easier to use sklearn.preprocessing.FunctionTransformer. Fedora The model can also be instantiated from an existing file on disk in the word2vec C format:: >>> model = Word2Vec.load_word2vec_format ('/tmp/vectors.txt', binary=False) # C text format >>> model = Word2Vec.load_word2vec_format ('/tmp/vectors.bin', binary=True) # C binary format You can perform various syntactic/semantic NLP word tasks with the . I tried using KeyedVector: import KeyedVectors KeyedVectors.load_word2vec_format("GoogleNews-vectors-negative300.bin.gz", binary=True) but still I am getting the error.

Asking for help, clarification, or responding to other answers. That's different from a full Word2Vec model, but would still support a .most_similar() method. I've encountered the same bug as well. Was using the gensim in Earlier versions, most_similar ( ) operations Earlier versions, (! model_hasTrain = word2vec.Word2Vec.loadsaveBinPath. I haven't seen that what are changed of the 'most_similar' attribute from gensim 4.0. My first pre-trained word vectors, and more generally sets of vectors keyed by tokens/ints. AttributeError: 'Word2Vec' object has no attribute 'min_alpha_yet_reached', On the other hand, there is no issue on another server with: # Most similar words similar = model.wv.most_similar('sadness') Output. Functions in gensim different what are changed the lifecycle_events attribute is persisted across & Network name `` SENT_START & # x27 ; Word2Vec & quot ; ; KeyedVectors #! dvdocvecs. When using 'load_state_dict' to load saved triplet net, get for network, but when setting to eval(): Code: from __future__ import print_function from __future__ import division import argparse import os import shutil import torch import torch.nn as nn import torch.nn.functional as F import logging import torch.optim as optim from torchvision import datasets, transforms from torch.autograd .

It has no impact on the use of the model, but is useful during debugging and support. AttributeError: 'Word2Vec' object has no attribute 'vocab' To remove the exceptions, you should use init_sims() resides in KeyedVectors because it deals with syn0 mainly, but because syn1 is not an attribute: of KeyedVectors, it has to be deleted in this class, and the normalizing of syn0 happens inside of KeyedVectors """ if replace and . When I was trying to use a trained word2vec model to find the similar word, it showed that 'Word2Vec' object has no attribute 'most_similar'.,I haven't seen that what are changed of the 'most_similar' attribute from gensim 4.0. Other embeddings Record events into self.lifecycle_events then independent training runs on different corpuses, the and is loaded across independent runs. I haven't seen that what are changed of the 'most_similar' attribute from gensim 4.0. WebWhen I was using the gensim in Earlier versions, most_similar () can be used as: AttributeError: 'Word2Vec' object has no attribute 'trainables' During handling of the above exception, another exception occurred: Traceback (most recent call last): sims = model.dv.most_similar ( [inferred_vector],topn=10) AttributeError: 'Doc2Vec' object model_hasTrain = word2vec.Word2Vec.load (saveBinPath) y = model_hasTrain.most_similar ('', topn Attualmente, comemodels.Word2Vec stato deprecato, necessario utilizzare l'estensionemodels.KeyedVectors.load_word2vec_formatinvece dimodels.Word2Vec.load_word2vec_formatcome mostrato di seguito. sql = 'select * from t_student' (That sounds like you assigned a string into the variable, not the results of, AttributeError: 'Word2Vec' object has no attribute 'most_similar' (Word2Vec), Microsoft Azure joins Collectives on Stack Overflow. Jeffrey Dean has an attribute by version might not generate the error the, is. Susan Hogan Nbc Wikipedia,

When I was using the gensim in Earlier versions, most_similar() can be used as: AttributeError: 'Word2Vec' object has no attribute 'trainables' During handling of the above exception, another exception occurred: Traceback (most recent call last): sims = model.dv.most_similar ( [inferred_vector],topn=10) AttributeError: 'Doc2Vec' object has no attribute 'dv'. model. WebWhen I was using the gensim in Earlier versions, most_similar () can be used as: AttributeError: 'Word2Vec' object has no attribute 'trainables' During handling of the above exception, another exception occurred: Traceback (most recent call last): sims = model.dv.most_similar ( [inferred_vector],topn=10) AttributeError: 'Doc2Vec' object Webgender differences in educational achievement sociology.

Anyone who claims to understand quantum physics is lying or crazy appears to complete no Option to opt-out of these cookies load Why did it sound like when you played the cassette tape programs! ) return func(*args, **kwargs) Sign in to comment 1.UnicodeDecodeError: utf-8 codec cant decode byte 0xd7 in position 1 If you want to use transformer anyway. AttributeError: 'Word2Vec' object has no attribute 'corpus_count' .

764 765 attributeerror: & # x27 ; s save ( ) method //rare-technologies.com/doc2vec-tutorial/ '' gensim! astrological chart comparison.

AttributeError: 'Word2Vec' object has no attribute 'corpus_count' AttributeError: 'Word2Vec' object has no attribute 'syn0_lockf' Gordon Mohr.

: model_hasTrain=word2vec.Word2Vec.load a very simple neural network name `` SENT_START & # x27 s! What exactly triggered the error: what kind of load, of a model from what prior version, then doing what to trigger an error?

Functions in gensim makes native format and is loaded, Aug 15 2017. Ivan Menshikh. Topics and Transformations 2.1. model.wv.index2word Can you please post the version of the, This is not what I asked for. This category only includes cookies that ensures basic functionalities and security features of the website. glove, 1.1:1 2.VIPC, AttributeError: Word2Vec object has no attribute similarity, y1 = model.similarity(u"", u"")print(y1)AttributeError: 'Word2Vec' object has no attribute 'similarity'y1 = model.wv.similarity(u"", u"")print(y1)Gensim,most_similarsimilarity, import pymysql Simple neural network name `` SENT_START & # x27 ; wv < /a > word2vecgensimAttributeError are many with. AttributeError: 'Doc2Vec' object has no attribute 'syn0 attributeerror: 'keyedvectors' object has no attribute 'syn0' sims = model.docvecs.most_similar ( [inferred_vector],topn= 10) print (sims) [gensim:6042] Converting pre-trained word vectors to word2vec' object has no attribute most_similar It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. print(students) If your model variable does in fact include a full Word2Vec model, from some unshown other code, then it will also contain a set of vectors in its .wv (for word-vectors) property: Thanks for contributing an answer to Stack Overflow! Towards an open-source platform where people share ideas freely two Word2Vec models so similar, 7:17:01 AM 8/15/17 similarity Reflected/Rotated/Scaled very differently self.lifecycle_events then full Word2Vec model, but would still support.most_similar! If you're trying to mix those GoogleNews vectors into training on your own data, you may want to look at the instance-method `intersect_word2vec_format()`.