Modelpublic

research-backup/opt-125m-analogy-permutation-domain

sourceHugging Faceupdated 4y agoView on Hugging Face

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Model Card

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-125m-analogy-permutation-domain

This is facebook/opt-125m 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

python

from transformers import pipeline

pipe = pipeline('text-generation', model="relbert/opt-125m-analogy-permutation-domain")
output = pipe("mammal is to whale what")