relbert/flan-t5-base-analogy-permutation
This is google/flan-t5-base fine-tuned on relbert/semeval2012_relational_similarity
for analogy generation, which is to generate a word pair (eg. bird is to crow) given a query (eg. mammal is to whale)
so that the query and the generated word pair form an analogy statement.
Usage
from transformers import pipeline
pipe = pipeline('text2text-generation', model="relbert/flan-t5-base-analogy-permutation")
output = pipe("generate analogy: mammal is to whale")
print(output)
>>> [{'generated_text': 'bird is to crow'}]
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