Update README.md

README.md

@@ -2618,7 +2618,9 @@ This is our [2DMSE](https://arxiv.org/abs/2402.14776) sentence embedding model.
 
 ## Quickstart
 
-### sentence-transformers
+Here, we provide several ways to produce sentence embeddings with adaptive layers and embedding sizes.  **For this version, it is recommended to set adaptive layers from 20 to 24.**
+
+### 1. sentence-transformers
 
 Currently, the best way to use our models is with the most recent version of sentence-transformers.
 
@@ -2656,7 +2658,7 @@ similarities = cos_sim(embeddings[0, :new_embedding_size], embeddings[1, :new_em
 print('similarities:', similarities)
 ```
 
-### angle-emb
+### 2. angle-emb
 
 You can also use the lastest `angle-emb` for inference, as follows:
 
@@ -2686,6 +2688,7 @@ similarities = cos_sim(embeddings[0], embeddings[1:])
 print('similarities:', similarities)
 ```
 
-### Using API
+### 3. Using API
+
 You’ll be able to use the models through our API as well. The API is coming soon and will have some exciting features. Stay tuned!