Update README.md

README.md

@@ -22,16 +22,17 @@ pinned: false
     CALM: Collaborative Arabic Language Model
   </p>
   <p class="mb-2">
-    The CALM project is joint effort lead by <u><a target="_blank"  href="https://sdaia.gov.sa/ncai/?Lang=en">NCAI</a></u> in collaboration with 
+    The CALM project is joint effort lead by <u><a target="_blank" href="https://sdaia.gov.sa/ncai/?Lang=en">NCAI</a></u> in collaboration with 
     <u><a target="_blank"  href="https://yandex.com/">Yandex</a> and <a href="https://huggingface.co/">HuggingFace</a></u> to train an Arabic language model with 
     volunteers from around the globe. The project is an adaptation of the framework proposed at the NeurIPS 2021 demonstration: 
-    <u><a target="_blank"  href="https://huggingface.co/training-transformers-together">Training Transformers Together</a></u>.
+    <u><a target="_blank" href="https://huggingface.co/training-transformers-together">Training Transformers Together</a></u>.
   </p>
   <p class="mb-2">
   One of the main obstacles facing many researchers in the Arabic NLP community is the lack of computing resources that are needed for training large models. Models with 
-  leading performane on Arabic NLP tasks, such as <a target="_blank" href="https://github.com/aub-mind/arabert">AraBERT</a>, 
-  <a href="https://github.com/CAMeL-Lab/CAMeLBERT" target="_blank" >CamelBERT</a>, 
-  <a href="https://huggingface.co/aubmindlab/araelectra-base-generator" target="_blank" >AraELECTRA</a>, and <a href="https://huggingface.co/qarib">QARiB</a>, 
+  leading performane on Arabic NLP tasks, such as <u><a target="_blank" href="https://github.com/aub-mind/arabert">AraBERT</a></u>, 
+  <u><a href="https://github.com/CAMeL-Lab/CAMeLBERT" target="_blank" >CamelBERT</a></u>, 
+  <u><a href="https://huggingface.co/aubmindlab/araelectra-base-generator" target="_blank" >AraELECTRA</a></u>, and 
+  <u><a href="https://huggingface.co/qarib">QARiB</a></u>, 
   took days to train on TPUs. In the spirit of democratization of AI and community enabling, a core value at NCAI, CALM aims to demonstrate the effectiveness 
   of collaborative training and form a community of volunteers for ANLP researchers with basic level cloud GPUs who wish to train their own models collaboratively.
   </p>
@@ -40,7 +41,7 @@ pinned: false
     Each volunteer GPU trains the model locally at its own pace on a portion of the dataset while another portion is being streamed in the background to reduces local 
     memory consumption. Computing the gradients and aggregating them is performed in a distributed manner, based on the computing abilities of each participating 
     volunteer. Details of the distributed training process are further described in the paper 
-    <a target="_blank"  href="https://papers.nips.cc/paper/2021/hash/41a60377ba920919939d83326ebee5a1-Abstract.html">Deep Learning in Open Collaborations</a>.
+    <u><a target="_blank" href="https://papers.nips.cc/paper/2021/hash/41a60377ba920919939d83326ebee5a1-Abstract.html">Deep Learning in Open Collaborations</a></u>.
   </p>
   
   <p class="mb-2" style="font-size:20px;font-weight:bold">
@@ -52,15 +53,15 @@ pinned: false
   </p>
   
   <ul class="mb-2">
-    <li>👉 Create an account on <a href="https://huggingface.co">Huggingface</a>.</li>
-    <li>👉 Join the <a href="https://huggingface.co/CALM">NCAI-CALM Organization</a> on Huggingface through the invitation link shared with you by email.</li>
+    <li>👉 Create an account on <u><a target="_blank" href="https://huggingface.co">Huggingface</a></u>.</li>
+    <li>👉 Join the <u><a target="_blank" href="https://huggingface.co/CALM">NCAI-CALM Organization</a></u> on Huggingface through the invitation link shared with you by email.</li>
     <li>👉 Get your Access Token, it's later required in the notebook.
     </li>
   </ul>
   
   <p class="h2 mb-2" style="font-size:18px;font-weight:bold">How to get my Huggingface Access Token</p>
   <ul class="mb-2">
-    <li>👉 Go to your <a href="https://huggingface.co">HF account</a>.</li>
+    <li>👉 Go to your <u><a href="https://huggingface.co">HF account</a></u>.</li>
     <li>👉 Go to Settings ⇒ Access Tokens.</li>
     <li>👉 Generate a new Access Token and enter any name for "what's this token for".</li>
     <li>👉 Select <code>read</code> role.</li>