Is there a way to load pre-trained binary word2vec file from gensim?
Loading vectors form the origininal word2vec text based format sometimes may cause some issues, probably because of how text was tokenized during word2vec training (for example including multi-word tokens) or some charecter encoding issues.
For example with my word2vec model if I do what @Boyu_Zhang suggested  vectors = Vectors(name=model_name, cache=path) results to the following error
RuntimeError: Vector for token b'\xc2\xa0' has 129 dimensions, but previously read vectors have 128 dimensions. All vectors must have the same number of dimensions.

But I can load the binary file for the vectors using gensim without a problem, so if someone can load the vectors/weights saved in binary format using gensim and somehow load them to Field.vocab that problem would be solved.
Thanks