README.md

---
license: cc-by-sa-4.0
datasets:
- jerteh/cc100-sr-jerteh
- jerteh/SrpWiki
- jerteh/SrpELTeC
- srwac
- procesaur/znanje
language:
- sr
tags:
- srpski
- Serbian
- RoBERTa
- BERT
- MaskedLM
widget:
- text: Kada bi čovek znao gde će pasti on bi<mask>.
---



<h4><i class="highlight-container"><b class="highlight">jerteh-355</b></i> — 
Najveći BERT model specijalno obučen za srpski jezik.</h4>

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<ul style="font-weight:bold">
    <li>Vektorizuje reči, ili dopunjava nedostajuće reči u tekstu</li>
    <li>Zasnovan na RoBERTa-large arhitekturi, 355 miliona parametara</li>
    <li>Obučavan na korpusu srpskog jezika veličine 4 milijarde tokena</li>
    <li>Najbolji rezultati u modelovanju maskiranog jezika za srpski!</li>
    <li>Jednaka podrška unosa i na ćirilici i na latinici!</li>
</ul>
</div>

Pored skupova navedenih u metapodacima, model je obučavan i na ostalim korpusima [Društva za jezičke resurse i tehnologije](https://jerteh.rs), 
uključujući korpuse savremenog srpskog jezika: SrpKor2013 i SrpKor2021,
kao i korpus [PDRS 1.0](https://www.clarin.si/repository/xmlui/handle/11356/1752) razvijen od strane Instituta za Srpski jezik SANU.


## Upotreba 

```python
>>> from transformers import pipeline
>>> unmasker = pipeline('fill-mask', model='jerteh/jerteh-355')
>>> unmasker("Kada bi čovek znao gde će pasti on bi<mask>.")
>>> 
```

```
[{'score': 0.2131326049566269, 'token': 11379, 'token_str': ' pao', 'sequence': 'Kada bi čovek znao gde će pasti on bi pao.'},
 {'score': 0.18836458027362823, 'token': 20536, 'token_str': ' pobegao', 'sequence': 'Kada bi čovek znao gde će pasti on bi pobegao.'},
 {'score': 0.07937008887529373, 'token': 10799, 'token_str': ' umro', 'sequence': 'Kada bi čovek znao gde će pasti on bi umro.'},
 {'score': 0.04340635612607002, 'token': 7797, 'token_str': ' otišao', 'sequence': 'Kada bi čovek znao gde će pasti on bi otišao.'},
 {'score': 0.038474686443805695, 'token': 25984, 'token_str': ' odustao', 'sequence': 'Kada bi čovek znao gde će pasti on bi odustao.'}]
```

```python
>>> from transformers import AutoTokenizer, AutoModelForMaskedLM
>>> from torch import LongTensor, no_grad
>>> from scipy import spatial
>>> tokenizer = AutoTokenizer.from_pretrained('jerteh/jerteh-355')
>>> model = AutoModelForMaskedLM.from_pretrained('jerteh/jerteh-355', 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))
>>> 
```

```
0.029090166091918945
0.0369451642036438
```

<h4>U slučaju potrebe za bržim modelom, pogledajte <a href="https://huggingface.co/jerteh/jerteh-81" class="highlight-container">
  <b class="highlight">jerteh-81</b></a> — mali BERT model za srpski jezik.</h4>

<h4>U slučaju potrebe za generativnim modelom, pogledajte <a href="https://huggingface.co/jerteh/gpt2-orao" class="highlight-container">
  <b class="highlight">gpt2-orao</b></a> i <a href="https://huggingface.co/jerteh/gpt2-vrabac" class="highlight-container">
  <b class="highlight">gpt2-vrabac</b></a></h4>



<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">Autor</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://rgf.bg.ac.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://rgf.bg.ac.rs/slike/Rgf-logo.jpg);background-repeat: no-repeat;
  background-position: center;">
          </div>
      </div>
    </a>
    <div style="text-align: center; font-size: 16px; font-weight: 800" title="Rudarsko-Geološki fakultet Univerziteta u Beogradu">Rudarsko-Geološki fakultet</div>
    <div>  
      <a href="https://www.ai.gov.rs/">
      	<div style="text-align: center; font-size: 14px;">rgf.bg.ac.rs</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">Data</div>
    <a href="https://jerteh.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://cdn-avatars.huggingface.co/v1/production/uploads/1673601491672-63bc254fb8c61b8aa496a39b.png?w=200&h=200&f=face);background-repeat: no-repeat;
  background-position: center;">
          </div>
      </div>
    </a>
    <div style="text-align: center; font-size: 16px; font-weight: 800" title="Društvo za jezičke resurse i tehnologije">JeRTeh</div>
    <div>  
      <a href="https://huggingface.co/jerteh">
      	<div style="text-align: center; font-size: 14px;">@jerteh</div>
      </a>
    </div>
  </div>
</div>



## Citiranje

```bibtex
@article{skoric24modeli,
  author    = {Mihailo \vSkori\'c},
  title     = {Novi jezi\vcki modeli za srpski jezik},
  journal   = {Infoteka},
  volume    = {24},
  issue     = {1},
  year      = {2024},
  publisher = {Zajednica biblioteka univerziteta u Srbiji, Beograd},
  url       = {https://arxiv.org/abs/2402.14379}
}
```

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