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Xlm Roberta Base Intent Twin
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Xlm Roberta Base Intent Twin
Developed by forthisdream
XLM-RoBERTa-base is a multilingual pre-trained model based on the RoBERTa architecture, supporting Russian and English, suitable for text classification tasks.
Downloads 30
Release Time : 2/19/2025
Model Overview
XLM-RoBERTa-base is a multilingual pre-trained model optimized based on the RoBERTa architecture, suitable for natural language processing tasks such as text classification.
Model Features
Multilingual Support
Supports text classification tasks in Russian and English.
High Performance
Optimized based on the RoBERTa architecture, excelling in text classification tasks.
Pre-trained Model
Capable of quickly adapting to downstream tasks through large-scale pre-training.
Model Capabilities
Text Classification
Multilingual Text Processing
Use Cases
Natural Language Processing
Sentiment Analysis
Classify the sentiment of Russian or English texts.
High accuracy and F1 score.
Topic Classification
Classify texts into predefined categories.
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