Add Sentence Transformers usage

README.md

@@ -2,6 +2,7 @@
 tags:
 - ColBERT
 - PyLate
+- multi-vector
 - sentence-transformers
 - sentence-similarity
 - embeddings
@@ -1034,6 +1035,39 @@ ColBERT(
 ```
 
 ## Usage
+
+### Sentence Transformers
+
+This model can be used with [Sentence Transformers](https://www.sbert.net/) as a multi-vector (ColBERT-style late interaction) retriever via the `MultiVectorEncoder`:
+
+```bash
+pip install "sentence-transformers>=6.0.0"
+```
+
+```python
+from sentence_transformers import MultiVectorEncoder
+
+model = MultiVectorEncoder("lightonai/ColBERT-Zero-unsupervised-noprompts")
+
+query = "What is the capital of France?"
+documents = [
+    "Paris is the capital and largest city of France.",
+    "Berlin is the capital of Germany.",
+]
+
+query_embeddings = model.encode_query(query)
+document_embeddings = model.encode_document(documents)
+print(query_embeddings.shape, document_embeddings[0].shape)
+# torch.Size([10, 128]) torch.Size([12, 128])
+
+# MaxSim late-interaction scoring (higher is more relevant)
+scores = model.similarity(query_embeddings, document_embeddings)
+print(scores)
+# tensor([[7.2047, 5.4773]], device='cuda:0')
+```
+
+### PyLate
+
 First install the PyLate library:
 
 ```bash