Created
November 27, 2019 18:17
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token | sentence_idx | |
---|---|---|
[CLS] | 263 | |
which | 263 | |
are | 263 | |
the | 263 | |
best | 263 | |
image | 263 | |
editing | 263 | |
companies | 263 | |
that | 263 | |
transform | 263 | |
or | 263 | |
ret | 263 | |
##ou | 263 | |
##ch | 263 | |
ordinary | 263 | |
images_1 | 263 | |
into | 263 | |
superior | 263 | |
quality | 263 | |
images_2 | 263 | |
within | 263 | |
ad | 263 | |
##obe | 263 | |
photos | 263 | |
##hop | 263 | |
? | 263 | |
[SEP] | 263 | |
[CLS] | 278 | |
why | 278 | |
do | 278 | |
we | 278 | |
need | 278 | |
a_1 | 278 | |
non | 278 | |
- | 278 | |
linear | 278 | |
activation | 278 | |
function | 278 | |
in | 278 | |
a_2 | 278 | |
convolutional | 278 | |
neural | 278 | |
network | 278 | |
? | 278 | |
[SEP] | 278 | |
[CLS] | 187 | |
what | 187 | |
is | 187 | |
causality | 187 | |
? | 187 | |
[SEP] | 187 |
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