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Xlm Roberta Large Qa Multilingual Finedtuned Ru
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Xlm Roberta Large Qa Multilingual Finedtuned Ru
Developed by AlexKay
This is a pretrained model based on the XLM-RoBERTa architecture, trained with masked language modeling objectives and fine-tuned on English and Russian question answering datasets.
Downloads 1,814
Release Time : 3/2/2022
Model Overview
This model is primarily used for question answering tasks, supporting both English and Russian languages, with excellent performance on SQuAD and SberQuAD datasets.
Model Features
Multilingual Support
Supports question answering tasks in both English and Russian languages
Whole Word Masking Pretraining
Pretrained with whole word masking language modeling objectives, enhancing model comprehension capabilities
Question Answering Task Optimization
Specially fine-tuned on SQuAD and SberQuAD datasets
Model Capabilities
English Question Answering
Russian Question Answering
Reading Comprehension
Contextual Understanding
Use Cases
Education
Language Learning Assistance
Helps students understand English and Russian text content
Improves reading comprehension skills
Customer Service
Multilingual FAQ System
Building an automated question answering system supporting English and Russian
Enhances customer service efficiency
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