Downloads · 30 days
12
2% of all-time downloads
opt-350m-analogy
research-backup/opt-350m-analogy
opt-350m-analogy is a text generation model from research-backup. Use it when you need the model to write or continue text. It is set up for transformers.
This is facebook/opt-350m 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)
All-time downloads
537
Public
Repo size
5.3 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin1.3 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- opt
- Access
- Public
- Created
- Feb 19, 2023
- Updated
- Feb 19, 2023
- SHA
- 59c5eeed
Try a prompt
Model card
From the Hugging Face model README
relbert/opt-350m-analogy
This is facebook/opt-350m 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('text-generation', model="relbert/opt-350m-analogy")
output = pipe("mammal is to whale what")
- Task
- Text Generation
- Library
- transformers
- Type
- opt
- Created
- Feb 19, 2023
- Updated
- Feb 19, 2023