This model is a sequence-to-sequence question generator with only the context as an input, and generates a question as an output. It is based on a pretrained bart-base model, and trained on EQG-RACE corpus.
The model is trained to generate examinations-style multiple choice question.
How to useThe model takes context as an input sequence, and will generate a question as an output sequence. The max sequence length is 1024 tokens. Inputs should be organised into the following format:
context
The input sequence can then be encoded and passed as the input_ids argument in the model's generate() method.