A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
Hi Prithiviraj, thank you for the great work!
Is it possible to run this model with batches of input sentences so that we can leverage using the GPU much better? At the moment, setting use_gpu to True doesn't achieve much performance gains because we're not parallelizing across input phrases. Unless I missed something in the source code, in which case please let me know (and this would be good instruction to better emphasize in the documentation, at least in my case and I'm sure for many others if they try using this model for paraphrasing phrases in the 1mil+ data sizes)
Hi Prithiviraj, thank you for the great work! Is it possible to run this model with batches of input sentences so that we can leverage using the GPU much better? At the moment, setting use_gpu to True doesn't achieve much performance gains because we're not parallelizing across input phrases. Unless I missed something in the source code, in which case please let me know (and this would be good instruction to better emphasize in the documentation, at least in my case and I'm sure for many others if they try using this model for paraphrasing phrases in the 1mil+ data sizes)