Update README.md

README.md

@@ -22,7 +22,7 @@ The model intended to be used for encoding sentences or short paragraphs. Given
 The model was trained on a random collection of **English** sentences from Wikipedia: [Training data file](https://huggingface.co/datasets/princeton-nlp/datasets-for-simcse/resolve/main/wiki1m_for_simcse.txt)
 
 # Model Usage
-## Example 1) - Sentence Similarity
+### Example 1) - Sentence Similarity
 
 ```python
 from transformers import AutoTokenizer, AutoModel
@@ -69,7 +69,7 @@ cos_sim = sim(embeddings.unsqueeze(1),
 print(f"Distance: {cos_sim[0,1].detach().item()}")
 ```
 
-## Example 2) - Clustering
+### Example 2) - Clustering
 
 ```python
 from transformers import AutoTokenizer, AutoModel
@@ -147,7 +147,7 @@ umap_plot.points(umap_model, labels = np.array(classes),theme='fire')
 ![UMAP Cluster](https://raw.githubusercontent.com/TJKlein/tjklein.github.io/master/images/miCSE_UMAP_small2.png)
 
 
-## Example 3) - Using [SentenceTransformers](https://www.sbert.net/)
+### Example 3) - Using [SentenceTransformers](https://www.sbert.net/)
 
 ```python
 from sentence_transformers import SentenceTransformer, util