feat: sentence transformers

README.md

@@ -2902,7 +2902,9 @@ base_model:
 
 # ModernBERT Embed
 
-ModernBERT Embed is an embedding model trained from [ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base), brining the new advances of ModernBERT to embeddings! 
+ModernBERT Embed is an embedding model trained from [ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base), brining the new advances of ModernBERT to embeddings!
+
+Trained on the [Nomic Embed](https://arxiv.org/abs/2402.01613) weakly-supervised and supervised datasets, `modernbert-embed` also supports Matryoshka Representation Learning dimensions of 256, reducing memory by 3x with minimal performance loss.
 
 ## Performance
 
@@ -2958,6 +2960,24 @@ embeddings = F.normalize(embeddings, p=2, dim=1)
 print(embeddings)
 ```
 
+### Sentence Transformers
+
+```python
+from sentence_transformers import SentenceTransformer
+
+model = SentenceTransformer(
+    "nomic-ai/modernbert-embed",
+)
+
+# Verify that everything works as expected
+embeddings = model.encode(['search_query: What is TSNE?', 'search_query: Who is Laurens van der Maaten?'])
+print(embeddings.shape)
+
+similarities = model.similarity(embeddings, embeddings)
+print(similarities)
+```
+
+
 ## Training
 
 Click the Nomic Atlas map below to visualize a 5M sample of our contrastive pretraining data!