pcyin / tranX

A general-purpose neural semantic parser for mapping natural language queries into machine executable code
Apache License 2.0
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evaluation on a trained model #8

Closed armheb closed 5 years ago

armheb commented 5 years ago

Hi, how can we use the trained models and make predictions using them? for example, I want to input some text and generate the django code for it. thanks.

mellahysf commented 4 years ago

Hi @armheb
Did you found the solution ? can you tel me how ? Thank you.

pcyin commented 4 years ago

Hey! Sorry for the late reply! Have you checked our online demo? It uses StandalonePaser, which takes as input a raw utterance, preprocesses the utterance, parses it to a logical form, and then performs necessary post-processing steps.