Added updates section

README.md

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 Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by 15x and making the models up to 500x faster, with a small drop in performance. See our results [here](results/README.md), or dive in to see how it works.
 
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+## Updates & Announcements
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+- **30/10/2024**: We released three new models: [potion-base-8M](https://huggingface.co/minishlab/potion-base-8M), [potion-base-4M](https://huggingface.co/minishlab/potion-base-4M), and [potion-base-2M](https://huggingface.co/minishlab/potion-base-2M). These models are trained using [Tokenlearn](https://github.com/MinishLab/tokenlearn). Find out more in our [blog post](https://minishlab.github.io/tokenlearn_blogpost/). NOTE: for users of any of our old English M2V models, we recommend switching to these new models as they perform better on all tasks.
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 ## Table of Contents
 - [Quickstart](#quickstart)
 - [Main Features](#main-features)