Usage
from sentence_transformers import SentenceTransformer, models
embedding_model = models.Transformer("yobi/klue-roberta-base-sts")
pooling_model = models.Pooling(
embedding_model.get_word_embedding_dimension(),
pooling_mode_mean_tokens=True,
)
model = SentenceTransformer(modules=[embedding_model, pooling_model])
model.encode("안녕하세요.", convert_to_tensor=True)