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Xlm Roberta Large Xquad

Developed by alon-albalak
A multilingual Q&A model based on XLM-RoBERTa-large, trained on the XQuAD dataset, supporting extractive Q&A tasks in 11 languages.
Downloads 45
Release Time : 3/2/2022

Model Overview

This model is a multilingual Q&A system based on the XLM-RoBERTa-large architecture, specifically fine-tuned for extractive Q&A tasks. It can extract correct answers from given contexts and questions.

Model Features

Multilingual Support
Supports Q&A tasks in 11 languages, including English, Spanish, German, and other major languages.
High Performance
Achieves an exact match score of 87.12 and an F1 score of 94.77 on the XQuAD test set.
Framework Compatibility
Supports popular frameworks such as Transformers, FARM, and Haystack.

Model Capabilities

Multilingual Q&A
Text comprehension
Answer extraction

Use Cases

Customer Support
Multilingual Customer Support
Provides automated multilingual Q&A support for multinational enterprises.
Accurately answers product-related questions from customers in different languages.
Education
Language Learning Assistance
Helps language learners understand foreign language articles through Q&A.
Provides accurate foreign language reading comprehension assistance.
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