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Sponsored by
YouArt
valhalla / t5-base-qa-qg-hl
Model's Last Updated: December 12 2020
text-generation
Introduction of t5-base-qa-qg-hl
Model Details of t5-base-qa-qg-hl
T5 for multi-task QA and QG
This is multi-task t5-base model trained for question answering and answer aware question generation tasks.
For question generation the answer spans are highlighted within the text with special highlight tokens (
<hl>
) and prefixed with 'generate question: '. For QA the input is processed like this
question: question_text context: context_text </s>
You can play with the model using the inference API. Here's how you can use it
For QG
generate question: <hl> 42 <hl> is the answer to life, the universe and everything. </s>
For QA
question: What is 42 context: 42 is the answer to life, the universe and everything. </s>
For more deatils see this repo.
Model in action 🚀
You'll need to clone the repo .
from pipelines import pipeline
nlp = pipeline("multitask-qa-qg", model="valhalla/t5-base-qa-qg-hl")
# to generate questions simply pass the text
nlp("42 is the answer to life, the universe and everything.")
=> [{'answer': '42', 'question': 'What is the answer to life, the universe and everything?'}]
# for qa pass a dict with "question" and "context"
nlp({
"question": "What is 42 ?",
"context": "42 is the answer to life, the universe and everything."
})
=> 'the answer to life, the universe and everything'
Runs of valhalla t5-base-qa-qg-hl on huggingface.co
693
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0
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30-day runs
More Information About t5-base-qa-qg-hl huggingface.co Model
Url of t5-base-qa-qg-hl
t5-base-qa-qg-hl huggingface.co Url
Provider of t5-base-qa-qg-hl huggingface.co
Other API from valhalla
Updated:June 14 2021
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