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Is there any way I can know the vocabulary of the pretrained model? Like in case of Word2Vec.
The text was updated successfully, but these errors were encountered:
You can obtain the list of entities by calling entities() method of the dictionary instance.
entities()
from wikipedia2vec import Wikipedia2Vec model = Wikipedia2Vec.load(MODEL_FILE) list(model.dictionary.entities())
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Okay, thanks a lot. And is there any way to extract entities from a paragraph of text?
Wikipedia2Vec does not currently provide a model to extract entities. You need to build a model based on the embeddings.
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Is there any way I can know the vocabulary of the pretrained model? Like in case of Word2Vec.
The text was updated successfully, but these errors were encountered: