# SQuAD2.0 adaptation

Russian QA model trained on sberbank-ai/ruBert-base, suitable for reading comprehension tasks

A Q&A model based on the DeBERTa-v3-large architecture, fine-tuned on the SQuAD 2.0 dataset, capable of handling both answerable and unanswerable questions.

A question-answering model developed based on the roberta-large architecture, specifically trained for the SQuAD 2.0 dataset

This is a Q&A model based on the RoBERTa architecture, specifically trained on the SQuAD 2.0 dataset, suitable for English Q&A tasks.

This is a language model based on the ALBERT XXLarge architecture and fine-tuned on the SQuAD2.0 dataset, specifically designed for question-answering tasks, capable of handling both answerable and unanswerable questions.