Update README.md

README.md

@@ -280,11 +280,34 @@ model-index:
 
 The successor of German_Semantic_STS_V2 is here!
 
-## Major updates:
+## Major updates and USPs:
+
+- **Sequence length:** 8192, (16 times more than V2 and other models) => thanks to the ALiBi implementation of Jina-Team!
+- **Matryoshka Embeddings:** The model is trained for embedding sizes from 1024 down to 64, allowing you to store much smaller embeddings with little quality loss.
+- **License:** Apache 2.0
+- **German only:** This model is German-only, causing the model to learn more efficient and deal better with shorter queries.
+
+## Usage:
+
+```python
+from sentence_transformers import SentenceTransformer
+
+
+matryoshka_dim = 1024 # How big your embeddings should be, choose from: 64, 128, 256, 512, 1024
+model = SentenceTransformer("aari1995/German_Semantic_V3", trust_remote_code=True, truncate_dim=matryoshka_dim)
+
+# Run inference
+sentences = [
+    'Eine Flagge weht.',
+    'Die Flagge bewegte sich in der Luft.',
+    'Zwei Personen beobachten das Wasser.',
+]
+embeddings = model.encode(sentences)
+
+# Get the similarity scores for the embeddings
+similarities = model.similarity(embeddings, embeddings)
+```
 
-- **Sequence length: 8192, (16 times more than V2 and other models) => thanks to the alibi implementation of Jina-Team!**
-- **Matryoshka Embeddings: Your embeddings can be sized from 1024 down to 64**
-- **License: Apache 2.0**
 
 
 ## Model Details