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.
How to use
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.
Runs of voidful unifiedqg-bart-base on huggingface.co
25
Total runs
0
24-hour runs
1
3-day runs
3
7-day runs
18
30-day runs
More Information About unifiedqg-bart-base huggingface.co Model
unifiedqg-bart-base huggingface.co
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voidful unifiedqg-bart-base online free url in huggingface.co:
unifiedqg-bart-base is an open source model from GitHub that offers a free installation service, and any user can find unifiedqg-bart-base on GitHub to install. At the same time, huggingface.co provides the effect of unifiedqg-bart-base install, users can directly use unifiedqg-bart-base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
unifiedqg-bart-base install url in huggingface.co: