Update README.md

README.md

@@ -100,9 +100,9 @@ batch_queries = processor.process_queries(queries).to(model.device)
 # Forward pass
 with torch.no_grad():
     image_embeddings = model(**batch_images)
-    querry_embeddings = model(**batch_queries)
+    query_embeddings = model(**batch_queries)
 
-scores = processor.score_multi_vector(querry_embeddings, image_embeddings)
+scores = processor.score_multi_vector(query_embeddings, image_embeddings)
 ```
 
 ## Limitations