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xlm-roberta

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This repository contains Jupyter notebooks detailing the experiments conducted in our research paper on Ukrainian news classification. We introduce a framework for simple classification dataset creation with minimal labeling effort, and further compare several pretrained models for the Ukrainian language.

  • Updated Aug 12, 2023
  • Jupyter Notebook

This repository provides code to fine-tune four multi-lingual language models (MBERT, XLM-RoBERTa, DistilmBERT, and MDeBERTa) on AraStance dataset (Alhindi et al., 2021). The repository includes notebooks for training, evaluation, and making predictions with the fine-tuned models.

  • Updated Dec 14, 2024
  • Jupyter Notebook

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