Creates empty model file

[trickidicki]

Using the following training and test data:
`

1 is positive, 0 is negative

f = open('train.txt', 'w')
f.write('__label__1 i love you\n')
f.write('__label__1 he loves me\n')
f.write('__label__1 she likes baseball\n')
f.write('__label__0 i hate you\n')
f.write('__label__0 sorry for that\n')
f.write('__label__0 this is awful')
f.close()

f = open('test.txt', 'w')
f.write('sorry hate you')
f.close()
`

Running fasttext supervised -input train.txt -output model -dim 2 yields a model.bin file with 0 bytes