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README.md

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-		Graphcore and Hugging Face are working together to make training of Transformer models on IPUs fast and easy.<br/>
-		<a href="https://www.graphcore.ai/hugging-face-hardware" class="underline" data-ga-category="graphcore-org" data-ga-action="clicked contact graphcore" data-ga-label="contact graphcore" >Contact Graphcore</a> to learn more about leveraging IPUs for your training needs.
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-		<div class="underline">Learn more about our partnership</div>
-	</a>
-	<a href="https://github.com/huggingface/optimum-graphcore" class="block overflow-hidden">
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-		<div class="underline">Check out Optimum Graphcore library</div>
-	</a>
-	<a href="https://www.graphcore.ai/developer" class="block overflow-hidden group" data-ga-category="graphcore-org" data-ga-action="clicked graphcore developer tools" data-ga-label="graphcore developer tools">
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-		<div class="underline">Discover Graphcore developer tools</div>
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-			Accelerate training and inference models with high-performance optimisations across natural language processing, computer vision and more.
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-			Graphcore’s IPU is powering advances in AI applications such as fraud detection for finance, drug discovery for life sciences, defect detection for manufacturing, traffic monitoring for smart cities and for all of tomorrow’s new breakthroughs.
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-			Learn more at <a href="/hardware/graphcore" class="underline">hf.co/hardware/graphcore</a>
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-<br>
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-You can try out Hugging Face Optimum on IPUs instantly using Paperspace Gradient. Join our [Slack Community](https://www.graphcore.ai/join-community) for help and support.
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-<a href="https://ipu.dev/3W9wwAD"><img src = "https://assets.paperspace.io/img/gradient-badge.svg"/></a> 
+Welcome to the official Hugging Face organization for **Graphcore**!
+ 
+Graphcore accelerates training and inference models with high-performance optimisations across natural language processing, computer vision and more.
+ 
+Our research team’s mission is to follow and contribute to the advancement of AI research, aiming to characterize the computational requirements of machine intelligence. On this page, you can find models and datasets from our works.
+ 
+To learn more about the Graphcore research team and the work we’ve been doing, check out our [blog](https://graphcore-research.github.io/) and [recent papers](https://www.graphcore.ai/resources/research-papers).
+We also publish a papers-of-the-month newsletter, which you can subscribe to here.
+ 
+Resources:
+- https://www.graphcore.ai/
+- https://github.com/graphcore-research/
+- https://graphcore-research.github.io/