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voidful/unifiedqg-bart-base
unifiedqg-bart-base is a text generation model from voidful. Use it when you need the model to write or continue text. It is set up for transformers.
This model is a sequence-to-sequence question generator which takes an answer and context as an input, and generates a question as an output. It is based on a pretrained bart-base model.
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From the Hugging Face model README
This model is a sequence-to-sequence question generator which takes an answer and context as an input, and generates a question as an output.
It is based on a pretrained bart-base model.
The model takes concatenated context and answers as an input sequence, and will generate a full distractor sentence as an output sequence. The max sequence length is 1024 tokens. Inputs should be organised into the following format:
answer \n context
The input sequence can then be encoded and passed as the input_ids argument in the model's generate() method.