Create README.md

README.md

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+---
+pipeline_tag: sentence-similarity
+tags:
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+- transformers
+---
+
+## 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)