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--- |
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widget: |
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- text: "generate analogy: mammal is to whale" |
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example_title: "Analogy Example 1 (semantic relation)" |
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- text: "generate analogy: wedding is to marriage" |
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example_title: "Analogy Example 1 (semantic relation, metaphor)" |
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- text: "generate analogy: London is to U.K." |
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example_title: "Analogy Example 2 (entity)" |
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- text: "generate analogy: actual is to actually" |
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example_title: "Analogy Example 3 (morphological)" |
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--- |
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# relbert/flan-t5-base-analogy-t-rex |
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This is [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) fine-tuned on [relbert/t_rex_relational_similarity](https://huggingface.co/datasets/relbert/t_rex_relational_similarity) |
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for analogy generation, which is to generate a word pair (eg. `bird is to crow`) given a query (eg. `mammal is to whale`) |
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so that the query and the generated word pair form an analogy statement. |
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### Usage |
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```python |
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from transformers import pipeline |
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pipe = pipeline('text2text-generation', model="relbert/flan-t5-base-analogy-t-rex") |
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output = pipe("generate analogy: mammal is to whale") |
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print(output) |
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>>> [{'generated_text': 'bird is to crow'}] |
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``` |
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