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t5-base-analogy
research-backup/t5-base-analogy
t5-base-analogy is a machine learning model from research-backup. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This is t5-base fine-tuned on relbert/semeval2012relationalsimilarity 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 gen…
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Feb 23, 2023
- Updated
- Feb 23, 2023
- SHA
- 96bd88aa
Try a prompt
Model card
From the Hugging Face model README
relbert/t5-base-analogy
This is t5-base 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
from transformers import pipeline
pipe = pipeline('text2text-generation', model="relbert/t5-base-analogy")
output = pipe("generate analogy: mammal is to whale")
print(output)
>>> [{'generated_text': 'bird is to crow'}]
- Library
- transformers
- Type
- t5
- Created
- Feb 23, 2023
- Updated
- Feb 23, 2023