Fixed a minor issue with tutorial

docs/_pages/tutorial.md

@@ -1,4 +1,7 @@
-# LLM2Vec Tutorial: Steps for transforming any decoder-only model into a text encoder
+---
+title: "LLM2Vec Tutorial: Steps for transforming any decoder-only model into a text encoder"
+permalink: /tutorial/
+---
 
 LLM2Vec consists of 3 simple steps to transform decoder-only LLMs into text encoders: 1) enabling bidirectional attention, 2) training with masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fine-tuned with supervised data. Here, we provide a tutorial on how to use the LlaMA models.