README.md

---
widget:
- text: "mammal is to whale what"
  example_title: "Analogy Example 1 (semantic relation)"
- text: "wedding is to marriage what "
  example_title: "Analogy Example 2 (semantic relation, metaphor)"
- text: "London is to U.K. what"
  example_title: "Analogy Example 3 (entity)"
- text: "actual is to actually what"
  example_title: "Analogy Example 4 (morphological)"
---
# relbert/opt-350m-analogy

This is [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) 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/opt-350m-analogy")
output = pipe("mammal is to whale what")
print(output)
>>> [{'generated_text': 'bird is to crow'}]
```