Updated docs

README.md

@@ -42,13 +42,16 @@
 Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by a factor up to 50 and making the models up to 500 times faster, with a small drop in performance. Our [best model](https://huggingface.co/minishlab/potion-base-8M) is the most performant static embedding model in the world. See our results [here](results/README.md), or dive in to see how it works.
 
 ## Table of Contents
+[Quickstart](#quickstart) | [Updates & Announcements](#updates--announcements) | [Main Features](#main-features) | [What is Model2Vec?](#what-is-model2vec) | [Documentation](#documentation) | [Model List](#model-list) | [Results](#results)
+
+<!-- ## Table of Contents
 - [Quickstart](#quickstart)
 - [Updates & Announcements](#updates--announcements)
 - [Main Features](#main-features)
 - [What is Model2Vec?](#what-is-model2vec)
 - [Documentation](#documentation)
 - [Model List](#model-list)
-- [Results](#results)
+- [Results](#results) -->
 
 ## Quickstart