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valhalla/t5-base-qg-hl
t5-base-qg-hl is a machine learning model from valhalla. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
This is t5-base model trained for answer aware question generation task. The answer spans are highlighted within the text with special highlight tokens.
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From the Hugging Face model README
This is t5-base model trained for answer aware question generation task. The answer spans are highlighted within the text with special highlight tokens.
You can play with the model using the inference API, just highlight the answer spans with <hl> tokens and end the text with </s>. For example
<hl> 42 <hl> is the answer to life, the universe and everything. </s>
For more deatils see this repo.
You'll need to clone the repo.
from pipelines import pipeline
nlp = pipeline("question-generation", model="valhalla/t5-base-qg-hl")
nlp("42 is the answer to life, universe and everything.")
=> [{'answer': '42', 'question': 'What is the answer to life, universe and everything?'}]