Update README.md

README.md

@@ -69,9 +69,37 @@ pinned: false
 	  </p>
 	  <ul>
 	  	<li class="ml-6"><a href="https://huggingface.co/hardware/intel" class="underline" data-ga-category="intel-org" data-ga-action="clicked partner page" data-ga-label="partner page">- Intel AI + Hugging Face partner page</a></li>
-	  	<li class="ml-6"><a href="https://github.com/huggingface/optimum-intel" class="underline" data-ga-category="intel-org" data-ga-action="clicked optimum intel" data-ga-label="optimum intel">- 🤗 Optimum-Intel library</a></li>
 	  	<li class="ml-6"><a href="https://github.com/IntelAI" class="underline" data-ga-category="intel-org" data-ga-action="clicked intel ai github" data-ga-label="intel ai github">- Intel AI GitHub</a></li>
         <li class="ml-6"><a href="https://www.intel.com/content/www/us/en/developer/partner/hugging-face.html" class="underline" data-ga-category="intel-org" data-ga-action="clicked intel partner page" data-ga-label="intel partner page">- Developer Resources from Intel and Hugging Face</a></li>
 	  </ul>
 	</div>
+    <div class="lg:col-span-3">
+	  <p class="mb-2">
+	    To get started with Intel® hardware and software optimizations, download and install the Optimum-Intel® 
+        and Intel® Extension for Transformers libraries with the following commands:
+	  </p>
+      <pre><code>
+        $ python -m pip install "optimum-intel[extras]"@git+https://github.com/huggingface/optimum-intel.git
+        $ python -m pip install intel-extension-for-transformers
+      </code></pre>
+      <p>
+        <i>For additional information on these two libraries including installation, features, and usage, see the two links below.</i>
+      </p>
+      <p class="mb-2">
+        Next, find your desired model (and dataset) by searching in the search box at the top-left of Hugging Face’s website. 
+        Add “intel” to your search to narrow your search to Intel®-pretrained models.
+      </p>
+      <p class="mb-2">
+        On the model’s page (called a “Model Card”) you will find description and usage information, an embedded 
+        inferencing demo, and the associated dataset. In the upper-right of your screen, click “Use in Transformers” 
+        for helpful code hints on how to import the model to your own workspace with an established Hugging Face pipeline and tokenizer.
+      </p>
+	  <p>
+	  	Library Source and Documentation:
+	  </p>
+	  <ul>
+	  	<li class="ml-6"><a href="https://github.com/huggingface/optimum-intel" class="underline" data-ga-category="intel-org" data-ga-action="clicked optimum intel" data-ga-label="optimum intel">- 🤗 Optimum-Intel® library</a></li>
+	  	<li class="ml-6"><a href="https://github.com/intel/intel-extension-for-transformers" class="underline" data-ga-category="intel-org" data-ga-action="clicked intel extension for transformers" data-ga-label="intel extension for transformers">- Intel® Extension for Transformers</a></li>
+	  </ul>
+	</div>
 </div>