Create README.md

README.md

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+---
+license: cc-by-4.0
+datasets:
+- procesaur/znanje
+- procesaur/Vikipedija
+- procesaur/Vikizvornik
+- procesaur/kisobran
+- jerteh/SrpELTeC
+language:
+- sr
+---
+
+<table style="width:100%;height:100%">
+  <tr>
+<td colspan=2>
+  <h4><i class="highlight-container"><b class="highlight">PiloT5</b></i></h4>
+</td>
+    </tr>
+  <tr style="width:100%;height:100%">
+    <td width=50%>
+      <p>Аутоенкодер заснован на Т5 архитектури - 248 милиона параметара</p>
+      <p>Обучаван над корпусом српског језика - 4 милијарди речи</p>
+      <!--p>Једнака подршка уноса на ћирилици и латиници!</p-->
+    </td>
+    <td>
+      <p>T5 based Autoencoder - 248 million parameters</p>
+      <p>Trained on Serbian corpora - 4 billion words</p>
+      <!--p>Equal support for Cyrillic and Latin input!</p-->
+    </td>
+  </tr>
+  </table>
+
+```python
+>>> from transformers import pipeline
+>>> unmasker = pipeline('fill-mask', model='te-sla/teslaXLM')
+>>> unmasker("Kada bi čovek znao gde će pasti on bi<mask>.")
+```
+
+```python
+>>> from transformers import AutoTokenizer, AutoModelForMaskedLM
+>>> from torch import LongTensor, no_grad
+>>> from scipy import spatial
+>>> tokenizer = AutoTokenizer.from_pretrained('te-sla/teslaXLM')
+>>> model = AutoModelForMaskedLM.from_pretrained('te-sla/teslaXLM', output_hidden_states=True)
+>>> x = " pas"
+>>> y = " mačka"
+>>> z = " svemir"
+>>> tensor_x = LongTensor(tokenizer.encode(x, add_special_tokens=False)).unsqueeze(0)
+>>> tensor_y = LongTensor(tokenizer.encode(y, add_special_tokens=False)).unsqueeze(0)
+>>> tensor_z = LongTensor(tokenizer.encode(z, add_special_tokens=False)).unsqueeze(0)
+>>> model.eval()
+>>> with no_grad():
+>>>     vektor_x = model(input_ids=tensor_x).hidden_states[-1].squeeze()
+>>>     vektor_y = model(input_ids=tensor_y).hidden_states[-1].squeeze()
+>>>     vektor_z = model(input_ids=tensor_z).hidden_states[-1].squeeze()
+>>>     print(spatial.distance.cosine(vektor_x, vektor_y))
+>>>     print(spatial.distance.cosine(vektor_x, vektor_z))
+```
+
+<div class="inline-flex flex-col" style="line-height: 1.5;padding-right:50px">
+  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">Author</div>
+    <a href="https://huggingface.co/procesaur">  
+      <div class="flex">
+          <div
+  			style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; 
+            background-size: cover; background-image: url(&#39;https://cdn-uploads.huggingface.co/production/uploads/1673534533167-63bc254fb8c61b8aa496a39b.jpeg?w=200&h=200&f=face&#39;)">
+          </div>
+      </div>
+    </a>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">Mihailo Škorić</div>
+    <div>  
+      <a href="https://huggingface.co/procesaur">
+      	<div style="text-align: center; font-size: 14px;">@procesaur</div>
+      </a>
+    </div>
+  </div>
+</div>
+
+
+
+<div class="inline-flex flex-col" style="line-height: 1.5;padding-right:40px"> 
+  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">Computation</div>
+    <a href="https://www.ai.gov.rs/">  
+      <div class="flex">
+          <div
+  			style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; 
+            background-size: contain; background-image: url(https://www.ai.gov.rs/img/logo_60x120-2.png);background-repeat: no-repeat;
+  background-position: center;">
+          </div>
+      </div>
+    </a>
+    <div style="text-align: center; font-size: 16px; font-weight: 800" title="nVidia DGX-zasnovan sistem">Nacionalna AI platforma</div>
+    <div>  
+      <a href="https://www.ai.gov.rs/">
+      	<div style="text-align: center; font-size: 14px;">ai.gov.rs</div>
+      </a>
+    </div>
+  </div>
+</div>
+
+## Cit.
+
+```bibtex
+@inproceedings{skoricxlm,
+  author    = {Mihailo Škorić, Saša Petalinkar},
+  title     = {New XLM-R-based language models for Serbian and Serbo-Croatian},
+  booktitle   = {ARTIFICAL INTELLIGENCE CONFERENCE},
+  year      = {2024},
+  address = {Belgrade}
+  publisher = {SASA, Belgrade},
+  url       = {}
+}
+```
+<br/>
+<div id="zastava">
+  <div class="grb">
+    <img src="https://www.ai.gov.rs/img/logo_60x120-2.png" style="position:relative; left:30px; z-index:10; height:85px">
+  </div>
+  <table width=100% style="border:0px">
+    <tr style="background-color:#C6363C;width:100%;border:0px;height:30px"><td style="width:100vw"></td></tr>
+    <tr style="background-color:#0C4076;width:100%;border:0px;height:30px"><td></td></tr>
+    <tr style="background-color:#ffffff;width:100%;border:0px;height:30px"><td></td></tr>
+  </table>
+</div>
+
+<table style="width:100%;height:100%">
+  <tr style="width:100%;height:100%">
+    <td width=50%>
+       <p>Истраживање jе спроведено уз подршку Фонда за науку Републике Србиjе, #7276, Text Embeddings – Serbian Language Applications – TESLA</p>
+    </td>
+    <td>
+      <p>This research was supported by the Science Fund of the Republic of Serbia, #7276, Text Embeddings - Serbian Language Applications - TESLA</p>
+    </td>
+  </tr>
+</table>
+
+
+
+<style>
+  .ffeat: {
+  color:red
+  }
+  
+  .cover {
+    width: 100%;
+    margin-bottom: 5pt
+  }
+  
+.highlight-container, .highlight {
+  position: relative;
+  text-decoration:none
+}
+
+.highlight-container {
+  display: inline-block;
+  
+}
+
+.highlight{
+  color:white;
+  text-transform:uppercase;
+  font-size: 16pt;
+}
+
+  .highlight-container{
+    padding:5px 10px
+  }
+
+.highlight-container:before {
+  content: " ";
+  display: block;
+  height: 100%;
+  width: 100%;
+  margin-left: 0px;
+  margin-right: 0px;
+  position: absolute;
+  background: #e80909;
+  transform: rotate(2deg);
+  top: -1px;
+  left: -1px;
+  border-radius: 20% 25% 20% 24%;
+  padding: 10px 18px 18px 10px;
+}
+
+div.grb, #zastava>table {
+  position:absolute;
+  top:0px;
+  left: 0px;
+  margin:0px
+}
+
+  div.grb>img, #zastava>table{
+    margin:0px
+  }
+  
+#zastava {
+  position: relative;
+  margin-bottom:120px
+}
+
+  p {
+    font-size:14pt
+  }
+</style>