Loading a local NER model but has no embeddings about concise-concepts HOT 4 CLOSED

I could be that you don't have embeddings within the spaCy model. Try out concise-concepts==0.3.0 for using custom Gensim embeddings.

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https://github.com/Pandora-Intelligence/concise-concepts#use-gensimword2vec-model-from-pre-trained-gensim-or-custom-model-path

from concise-concepts.

Yeah, my model don't have embeddings but I would like to train it to have it. Using a gensim wouldn't really work out for my work case because many of my tokens would be OOV since most of my data comer from e-commerce data and not natural text. Is there any step in the spaCy pipelene required to make embeddings available on my model?

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@marcossilva I recommend looking at the spaCy guide on embeddings or training . Alternatively, there is Gensim, you could also try to use a FastText model from Gensim to deal with OOV words for your specific dataset, or even better, just train a custom word2vec model for your data.

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