Loading embeddings

[Joseph94m]

Hi,

I downloaded the French embeddings, and extracted the zip file.
How can I load these embeddings in a python code and return the embeddings for a specified word, e.g.: embedding("bonjour") -----> [0.2, -0,2, etc...]

Thanks

[nvietsang]

You can use gensim to load the .bin model:

from gensim.models import Word2Vec
model = Word2Vec.load("vi.bin")
model.wv['nhà']

Then, you will get the embedding vector of the word "nhà", in Vietnamese for example.
Remember to install gensim library

[fadeawaygod]

But it didn't work with FastText, below is my code:

from gensim.models import FastText

model_f = FastText.load("zh.bin")
v = model_f.wv['你好']`

It throws a exception:
Exception has occurred: _pickle.UnpicklingError
invalid load key, ','.

[fadeawaygod]

But it didn't work with FastText, below is my code:

from gensim.models import FastText

model_f = FastText.load("zh.bin")
v = model_f.wv['你好']`

It throws a exception:
Exception has occurred: _pickle.UnpicklingError
invalid load key, ','.

I fixed it by replacing load with load_fasttext_format.