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Sloberta
S
Sloberta
Developed by EMBEDDIA
SloBERTa is a monolingual BERT-like model specifically optimized for the Slovenian language, developed based on the Camembert architecture.
Downloads 2,691
Release Time : 3/2/2022
Model Overview
This model is primarily used for masked language modeling tasks in Slovenian, suitable for various natural language processing applications.
Model Features
Slovenian language specific
Specifically trained for Slovenian language, excelling in tasks involving this language
Large-scale training data
Trained using a Slovenian corpus of 3.47 billion tokens
Complete training cycles
Trained for 200,000 iterations, approximately 98 complete training epochs
Model Capabilities
Slovenian text understanding
Masked language prediction
Contextual semantic analysis
Use Cases
Natural Language Processing
Text autocompletion
Predict missing words in Slovenian text editing applications
Semantic analysis
Analyze semantic content of Slovenian texts
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