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This repository has been archived by the owner on Aug 3, 2021. It is now read-only.
Hello guys.
I tried to use language model for inference.
I've successfully built custom tensorflow (https://nvidia.github.io/OpenSeq2Seq/html/installation.html#how-to-build-a-custom-native-tf-op-for-ctc-decoder-with-language-model-optional).
But after it, when I try to run
./scripts/download_lm.sh
,it gives
Identifying n-grams omitted by SRI
----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100
Quantizing
----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100
Writing trie
----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100
SUCCESS
INFO: Skipping trie generation, since no custom TF op based CTC decoder found.
INFO: Please use Baidu CTC decoder with this language model.
How can I build language model?
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