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Neural question generation using transformers

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in some cases, answers can't be found in the input text and ValueError would appear, add try except to avoid such errors.

Hi! I've started working on my own QG algorithm for my Masters thesis and I'm trying to learn how to evaluate a model. Since you've posted your metrics, I've been...

Doing the finetuning and keeping seeing the follow assertion errors Epoch: 0%| | 0/8 [00:00

hey it would be of great help if you would guide us ...in understanding your project ......as the details mentioned in the readme file is bit hard to undertsand.

in `pipelines.py`, `QGPipeline` class is refered as Poor man's pipeline. I gues because it handles one text at a time. can you implement an inference pipeline for batch of texts....

This works great but it only returns a maximum of 4 questions?

Hello! How can i generate questions for russian language?

Does it support other language please? if not, how can I use it in other language such as France, German etc

Hello @patil-suraj, I get the following assertion error: Code: ``` gen = pipeline("question-generation", model='valhalla/t5-base-qg-hl', ans_model='valhalla/t5-base-qa-qg-hl') qa = gen('Direct calls or provocation to audiences to commit criminal acts should be challenged.')...

the keyword argument "prediction_loss_only" doesn't exist? TypeError: __init__() got an unexpected keyword argument 'prediction_loss_only'