| 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-xl-analogy | |
| This is [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) 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-xl-analogy") | |
| output = pipe("generate analogy: mammal is to whale") | |
| print(output) | |
| >>> [{'generated_text': 'bird is to crow'}] | |
| ``` | |