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>>> sumegha19 |
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>>> lissyx |
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>>> sumegha19 |
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>>> reuben |
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>>> sumegha19 |
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>>> sumegha19
[September 30, 2019, 5:59am]
Hi Team, slash
So I read a lot of discussion about whether or not to provide lm.binary
and trie while training, and it became quite clear that these two are
needed only during the inference time. slash
However, what if I want to see the model prediction without lm.binary
and trie. I read somewhere in dscourse that we can opt to not give the
paths of lm.binary and trie but in that case it picks them up from their
default location data/lm/ slash
I tried removing that folder or re-naming it but then it threw up this
error that lm/binary path must exist and be readable. slash
Another thing that I did was to provide lm_alpha=0 and lm_beta=0. Will
it totally de-activate the use of language model while inference. slash
I was doing this concept testing around small corpus just to verify the
working of lm.binary and trie.
[Reuben Morais.full-name}
Joined November 14, 2017
Kindly help
![:slight_smile:](
[This is an archived TTS discussion thread from discourse.mozilla.org/t/are-lm-binary-and-trie-necessary-for-running-evaluate-py]
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