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---
language:
- tg
widget:
- text: "Пойтахти <mask> Душанбе"
- text: "<mask> ба ин сайти шумо медароям."
- text: "Номи ман Акрам <mask>"
tags:
- generated_from_trainer
model_index:
- name: TajBERTo
results:
- task:
name: Masked Language Modeling
type: fill-mask
---
# TajBERTo: RoBERTa-like Language model trained on Tajik
## First ever Tajik NLP model 🔥
# Dataset:
# This model was trained on filtered and merged version of Leipzig Corpora https://wortschatz.unileipzig.de/en/download/Tajik
## Intended use
# You can use the raw model for masked text generation or fine-tune it to a downstream task.
## Example pipeline
```python
from transformers import pipeline
fill_mask = pipeline(
"fill-mask",
model="muhtasham/TajBERTo",
tokenizer="muhtasham/TajBERTo"
)
fill_mask("Пойтахти <mask> Душанбе")
# This is the beginning of a beautiful <mask>.
{'score': 0.1952248513698578,
'sequence': 'Пойтахти шаҳри Душанбе',
'token': 710,
'token_str': ' шаҳри'},
{'score': 0.029092855751514435,
'sequence': 'Пойтахти дар Душанбе',
'token': 310,
'token_str': ' дар'},
{'score': 0.020065447315573692,
'sequence': 'Пойтахти Душанбе Душанбе',
'token': 717,
'token_str': ' Душанбе'},
{'score': 0.016725927591323853,
'sequence': 'Пойтахти Тоҷикистон Душанбе',
'token': 424,
'token_str': ' Тоҷикистон'},
{'score': 0.011400512419641018,
'sequence': 'Пойтахти аз Душанбе',
'token': 335,
'token_str': ' аз'}
```
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