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Xlm Roberta Large En Ru Mnli
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Xlm Roberta Large En Ru Mnli

Developed by DeepPavlov
A fine-tuned version based on the xlm-roberta-large-en-ru model on the MNLI dataset, supporting natural language inference tasks in English and Russian.
Text Classification
Transformers
 Supports Multiple Languages#English-Russian multilingual reasoning#Natural language understanding#Textual entailment recognition
Downloads 105
Release Time : 3/2/2022

Model Overview

This model is a multilingual version of XLM-RoBERTa-Large, specifically fine-tuned for English and Russian MNLI (Multi-Genre Natural Language Inference) tasks, suitable for text classification and natural language inference scenarios.

Model Features

Multilingual support
Supports natural language processing tasks in both English and Russian.
MNLI fine-tuning
Specifically optimized for the MNLI (Multi-Genre Natural Language Inference) dataset.
Based on XLM-RoBERTa-Large
Built on the powerful XLM-RoBERTa-Large architecture with excellent language understanding capabilities.

Model Capabilities

Text classification
Natural language inference
Bilingual text processing

Use Cases

Natural language processing
Textual entailment judgment
Determine whether there is an entailment, contradiction, or neutral relationship between two pieces of text.
Performs well on the MNLI dataset
Bilingual text analysis
Process mixed English and Russian text content.
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