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#### Problem description
Trying to load a previously trained word2vec model
#### Steps/code/corpus to reproduce
```
from gensim.models import Word2Vec
f= 'word2vec_siz300_win5_min5_itr50_v1.mod…
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Cant import word2vec in python.Jow to correct this error.
RuntimeError: you must first build vocabulary before training the model
Traceback (most recent call last):
File "", line 1, in
import…
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Hello there,
what is the correct way to separate training from inference?
Is this correct?
I run the training first, save the embeddings.
Then I load a new graph and do the most similar?
```
…
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First off, thanks for code, this is really great work.
I am having trouble training the model with the command example you provided. I am using this command to train the model:
$ python core.py …
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model = KeyedVectors.load_word2vec_format('./dict/Medical.txt', binary=False)
sim = model.wv.most_similar('海马', topn = 10)
print(sim)
报错信息：
return _load_word2vec_format(
File "/root/miniconda…
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It's been brought to our attention that word2vec produced a racial slur in a student project. The issue comes from our the inclusion of slurs in the word2vec model files we use for the word2vec exampl…
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I am trying to execute the LSTM to LSTM auto-encoder with word embedding (RNN to RNN architecture) example. I have already trained my own word2vec model via gensim and saved it with the command
`mode…
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Hello, I am very admiring your work.But I notice last line of main.py can train both model of classifier_model and Randomwalk_Word2vec but setting loss=(loss, 1.0), (loss2, 0.0) can only train model …
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File "/home/wt/桌面/class/text_classification-master/a02_TextCNN/other_experiement/data_util_zhihu.py", line 28, in create_voabulary
model=word2vec.load(word2vec_model_path,kind='bin')
File "/us…
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hello , where is the word2vecmodel/word2vec.model?