metadata
widget:
- text: 'generate analogy: mammal is to whale'
example_title: Analogy Example 1 (semantic relation)
- text: 'generate analogy: wedding is to marriage'
example_title: Analogy Example 1 (semantic relation, metaphor)
- text: 'generate analogy: London is to U.K.'
example_title: Analogy Example 2 (entity)
- text: 'generate analogy: actual is to actually'
example_title: Analogy Example 3 (morphological)
relbert/flan-t5-small-analogy-permutation-domain
This is google/flan-t5-small 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-small-analogy-permutation-domain")
output = pipe("generate analogy: mammal is to whale")
print(output)
>>> [{'generated_text': 'bird is to crow'}]