README.md

metadata

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

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'}