It sounds like a bug. How many tokens do you have in your corpus?
If you have the vectorized corpus in a variable X (e.g. `X =
CountVectorizer().fit_transform(list_of_documents)`) you can do:
>>> print(repr(X))
to get the dimension and number of non-zeros in the sparse matrix.
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