SuperTweetEval
Collection
Dataset and models associated with the SuperTweetEval benchmark
•
24 items
•
Updated
•
1
This is google/flan-t5-small fine-tuned on cardiffnlp/super_tweeteval (tweet_qa).
from transformers import pipeline
pipe = pipeline('text2text-generation', model="cardiffnlp/flan-t5-small-tweet-qa")
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, question: what should phylicia rashad do now?")