---
datasets: relbert/semeval2012_relational_similarity
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-base-analogy-permutation

This is [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) fine-tuned on [relbert/semeval2012_relational_similarity](https://huggingface.co/datasets/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

```python
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'}]
```