Example

from sentence_transformers import CrossEncoder

model = CrossEncoder('ddobokki/electra-small-sts-cross-encoder')
model.predict(["그녀는 행복해서 웃었다.", "그녀는 웃겨서 눈물이 났다."])
-> 0.8206561

Dataset

KorSTS
- Train
- Test
KLUE STS
- Train
- Test

Performance

Dataset	Pearson corr.	Spearman corr.
KorSTS(test) + KLUE STS(test)	0.8528	0.8504

TODO

Using KLUE 1.1 train, dev data

Downloads last month: 116

Safetensors

Model size

14.1M params

Tensor type

I64

F32

Inference Providers NEW

Text Classification

This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.