SuperTweetEval
Collection
Dataset and models associated with the SuperTweetEval benchmark
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24 items
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Updated
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1
cardiffnlp/flan-t5-base-tweet-qg
This is google/flan-t5-base fine-tuned on cardiffnlp/super_tweeteval (tweet_qg).
Usage
from transformers import pipeline
pipe = pipeline('text2text-generation', model="cardiffnlp/flan-t5-base-tweet-qg")
output = pipe("context: I would hope that Phylicia Rashad would apologize now that @missjillscott has! You cannot discount 30 victims who come with similar stories.— JDWhitner (@JDWhitner) July 7, 2015, answer: apologize")
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