Add new SentenceTransformer model.

README.md

@@ -34,7 +34,10 @@ Then you can use the model using the original model name like this:
 
 ```python
 from light_embed import TextEmbedding
-sentences = ["This is an example sentence", "Each sentence is converted"]
+sentences = [
+	"This is an example sentence",
+	"Each sentence is converted"
+]
 
 model = TextEmbedding('sentence-transformers/all-MiniLM-L6-v2')
 embeddings = model.encode(sentences)
@@ -45,7 +48,10 @@ Then you can use the model using onnx model name like this:
 
 ```python
 from light_embed import TextEmbedding
-sentences = ["This is an example sentence", "Each sentence is converted"]
+sentences = [
+	"This is an example sentence",
+	"Each sentence is converted"
+]
 
 model = TextEmbedding('LightEmbed/sbert-all-MiniLM-L6-v2-onnx')
 embeddings = model.encode(sentences)