
## 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)
```


{"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"}
sentence-transformers pytorch roberta feature-extraction sentence-similarity transformers endpoints_compatible region:us
TAGS
#sentence-transformers #pytorch #roberta #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us 


## Usage




## Usage
TAGS
#sentence-transformers #pytorch #roberta #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us 
 ## Usage
passage: TAGS
#sentence-transformers #pytorch #roberta #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us 
## Usage