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README.md

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-This organization is a part of the NeurIPS 2021 demonstration <a href="https://training-transformers-together.github.io/">"Training Transformers Together"</a>.
-
-In this demo, we train a model similar to <a target="_blank" href="https://openai.com/blog/dall-e/">OpenAI DALL-E</a> —
-a Transformer "language model" that generates images from text descriptions.
-It is trained on <a target="_blank" href="https://laion.ai/laion-400-open-dataset/">LAION-400M</a>,
-the world's largest openly available image-text-pair dataset with 400 million samples. Our model is based on
-the <a target="_blank" href="https://github.com/lucidrains/DALLE-pytorch">dalle‑pytorch</a> implementation
-by <a target="_blank" href="https://github.com/lucidrains">Phil Wang</a> with a few tweaks to make it communication-efficient.
-
-See details about how to join and how it works on <a target="_blank" href="https://training-transformers-together.github.io/">our website</a>.
-
-The organization gathers people participating in the collaborative training and provides links to the necessary resources:
-
-- 👉 Starter kits for **Google Colab** and **Kaggle** (easy way to join the training)
-- 👉 [Dashboard](https://huggingface.co/spaces/training-transformers-together/Dashboard) (the current training state: loss, number of peers, etc.)
-- 👉 [Model](https://huggingface.co/training-transformers-together/dalle-demo) (the latest model checkpoint)
-- 👉 [Dataset](https://huggingface.co/datasets/laion/laion_100m_vqgan_f8)
-
-Feel free to reach us on [Discord](https://discord.gg/uGugx9zYvN) if you have any questions 🙂
+<p>
+  This organization is a part of the NeurIPS 2021 demonstration <a href="https://training-transformers-together.github.io/">"Training Transformers Together"</a>.
+</p>
+<p>
+  In this demo, we train a model similar to <a target="_blank" href="https://openai.com/blog/dall-e/">OpenAI DALL-E</a> —
+  a Transformer "language model" that generates images from text descriptions.
+  It is trained on <a target="_blank" href="https://laion.ai/laion-400-open-dataset/">LAION-400M</a>,
+  the world's largest openly available image-text-pair dataset with 400 million samples. Our model is based on
+  the <a target="_blank" href="https://github.com/lucidrains/DALLE-pytorch">dalle‑pytorch</a> implementation
+  by <a target="_blank" href="https://github.com/lucidrains">Phil Wang</a> with a few tweaks to make it communication-efficient.
+</p>
+<p>
+  See details about how to join and how it works on <a target="_blank" href="https://training-transformers-together.github.io/">our website</a>.
+</p>
+<p>
+  This organization gathers people participating in the collaborative training and provides links to the necessary resources:
+</p>
+<ul>
+  <li>👉 Starter kits for **Google Colab** and **Kaggle** (easy way to join the training)</li>
+  <li>👉 <a target="_blank" href="https://huggingface.co/spaces/training-transformers-together/Dashboard">Dashboard</a> (the current training state: loss, number of peers, etc.)</li>
+  <li>👉 <a target="_blank" href="https://huggingface.co/training-transformers-together/dalle-demo">Model</a> (the latest checkpoint)</li>
+  <li>👉 <a target="_blank" href="https://huggingface.co/datasets/laion/laion_100m_vqgan_f8">Dataset</a></li>
+</ul>
+<p>
+  Feel free to reach us on <a target="_blank" href="https://discord.gg/uGugx9zYvN">Discord</a> if you have any questions 🙂
+</p>