metadata
widget:
- text: >-
context 1: imagine seeing qoute from cave story making it into smash as a
dlc character instead of frisk or sans lmao, context 2: imagine seeing
qoute from cave story making it into smash as a dlc character instead of
frisk or sans lmao, target: frisk
example_title: example 1
- text: >-
context 1: frisk and sans are my two favorite undertale characters
actually jknJKNDJKNKDN, context 2: frisk and sans are my two favorite
undertale characters actually jknJKNDJKNKDN, target: frisk
example_title: example 2
- text: >-
context 1: hmm a businessman president presented a unique opportunity to
accelerate the fight against climate change imo but a stop and frisk
advocate has no place in the 2020 dem primary so probably for the best,
context 2: hmm a businessman president presented a unique opportunity to
accelerate the fight against climate change imo but a stop and frisk
advocate has no place in the 2020 dem primary so probably for the best,
target: frisk
example_title: example 3
cardiffnlp/flan-t5-base-tempo-wic
This is google/flan-t5-base fine-tuned on cardiffnlp/super_tweeteval (tempo_wic).
Usage
from transformers import pipeline
pipe = pipeline('text2text-generation', model="cardiffnlp/flan-t5-base-tempo-wic")
output = pipe("context 1: imagine seeing qoute from cave story making it into smash as a dlc character instead of frisk or sans lmao, context 2: imagine seeing qoute from cave story making it into smash as a dlc character instead of frisk or sans lmao, target: frisk")