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Bert Multi Cased Finetuned Xquadv1

Developed by mrm8488
Based on Google's BERT base multilingual model, fine-tuned on Q&A datasets in 11 languages, supporting cross-lingual Q&A tasks
Downloads 1,100
Release Time : 3/2/2022

Model Overview

This model is a Q&A model fine-tuned on XQuAD and other datasets based on BERT base multilingual version, supporting Q&A tasks in 11 languages including Arabic, German, Greek, English, Spanish, Hindi, Russian, Thai, Turkish, Vietnamese, and Chinese.

Model Features

Multilingual support
Supports Q&A tasks in 11 different languages, including major languages from Asia, Europe, and the Middle East
Cross-lingual transfer capability
Fine-tuned on XQuAD dataset, focusing on transfer learning for cross-lingual Q&A tasks
Efficient inference
Based on BERT base architecture, maintaining relatively high accuracy while having a relatively small model size

Model Capabilities

Multilingual Q&A
Cross-lingual text understanding
Context-aware answer extraction

Use Cases

Multilingual customer service systems
Multilingual FAQ auto-response
Provides automated Q&A services based on knowledge bases for users in different languages
Can accurately identify questions and extract relevant answers from context
Educational applications
Multilingual reading comprehension assistance
Helps students understand texts in different languages and answer questions
Can provide accurate answer localization and extraction
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