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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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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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I get this error while loading `wiki.en.vec` from FastText pre-trained Word2Vec model. See [here](https://github.com/facebookresearch/fastText/blob/master/pretrained-vectors.md) for this model.
```…
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#### Problem description
Hello,
I recently had 3 gensim models (1 fasttext model and 2 word2vec models) saved using `Word2Vec.save()` and `FastText.save()` and I was able to load back all 3 models n…
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i was wondering if we can load these models with gensim or something similar. since the whole file is binary we need to know its format and more information. can you please provide more info on it ?
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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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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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hello , where is the word2vecmodel/word2vec.model?
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My gensim version is ``3.4.0``. When loading the model you provide, the program will quit without any errors or warnings. It may be resulted by the gensim version. I wonder which version of gensim you…