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Added fix and test for fasttext. This allows to load fasttext models when there are multiple words in a line.
Some models have words like this (Universidade de Sao Paulo's NILC embeddings, for instance) that are correctly loaded by libraries like Spacy.
For instance, a line might have "hello there 0.1 0.2 0.3" etc etc. It's not actually the case for NILC, where the actual bug manifests because of a money expression "R$ 0,00"
I think the same work has to be done for the glove, word2vec, etc but here's how I'm doing in my code.