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Estroberta

Developed by tartuNLP
Estonian feature extraction model fine-tuned based on XLM-RoBERTa base model
Text Embedding
Transformers
 Other#Estonian feature extraction#Multilingual support#XLM-RoBERTa fine-tuning
Downloads 1,842
Release Time : 8/4/2022

Model Overview

EstRoBERTa is a feature extraction model specifically optimized for Estonian, developed based on the XLM-RoBERTa base architecture, suitable for Estonian text processing tasks.

Model Features

Estonian optimization
Specially fine-tuned for Estonian, providing better language feature extraction capabilities
Multilingual foundation
Based on the XLM-RoBERTa multilingual model, with cross-lingual transfer learning capabilities
Feature extraction
Focuses on text feature extraction tasks, suitable as a base model for downstream NLP tasks

Model Capabilities

Estonian text feature extraction
Cross-lingual transfer learning

Use Cases

Natural Language Processing
Text classification
Feature extraction for Estonian text classification tasks
Sentiment analysis
Serves as a base feature extractor for Estonian sentiment analysis models
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