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Neural question generation using transformers

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I ran the following code on colab: ```python from pipelines import pipeline nlp = pipeline("question-generation") text = """FIO Labs is an independent, privately-owned company with a global reach. With the...

Instead of using the library by manually cloning and use in other projects. Changes allow to install question_generation as a proper python library

Hello, I need to use this Question Generation, for one of my projects, but I´m having trouble with the input text. Always seems to get this error "ValueError: substring not...

hi, thanks for publish this amazing tool ! i run the demo and find some problem it is said that ``` ValueError: substring not found ``` I find that it...

Fixed substring not found error by keeping skip_special_tokens=True for ans_tokenizer.decode in _extract answers.

@patil-suraj abbrevation in question generated are some times coming in small case such as it instead of IT/ai instead AI etc

@patil-suraj I was wondering can we generate questions based on types like remembering based question,analysis based or comprehension based? Any information on such thing is appreciated.

Is there a way to fine-tune using a GPU instead of a TPU? @patil-suraj My dataset is too large, and the v2-8 TPU in Google Colab always ran out of...

nlp = pipeline("e2e-qg", numberofQuestions=2) is it possible to finetune like that