Update README.md

README.md

@@ -7,8 +7,23 @@ sdk: static
 pinned: false
 ---
 
-<img src="https://raw.githubusercontent.com/asahi417/relbert/test/assets/relbert_logo.png" alt="" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
+<img src="https://raw.githubusercontent.com/asahi417/relbert/test/assets/relbert_logo.png" alt="" width="150" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
 
-RelBERT: High-quality semantic representative embedding of word pairs powered by pre-trained language model.
+<h1>RelBERT</h1>
+High-quality semantic representative embedding of word pairs powered by pre-trained language model.
+All you need is to install <a href="https://pypi.org/project/relbert/">relbert</a> library by <b> pip install relbert</b> and explore in python as below.
 
+<pre class="line-numbers">
+   <code class="language-python">
+      from relbert import RelBERT
+      model = RelBERT('asahi417/relbert-roberta-large')
+      vector = model.get_embedding(['Tokyo', 'Japan'])  # shape of (1024, )
+   </code>
+</pre>
 
+See more information bellow.
+<ul>
+<li><a href="https://arxiv.org/abs/2110.15705">RelBERT paper (EMNLP 2021 main conference) </a></li>
+<li><a href="https://github.com/asahi417/relbert">GitHub</a></li>
+<li><a href="https://pypi.org/project/relbert">pip</a></li>
+</ul>