Distilbert Srb Ner
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Distilbert Srb Ner
Developed by Aleksandar
A lightweight model based on the DistilBERT architecture, specifically designed for Serbian named entity recognition tasks, trained on the wikiann dataset.
Downloads 16
Release Time : 3/2/2022
Model Overview
This model is a named entity recognition (NER) model optimized for Serbian, capable of identifying entities such as person names, place names, and organization names in text.
Model Features
Efficient and Lightweight
Based on the DistilBERT architecture, it reduces model size and computational requirements while maintaining high performance.
Optimized for Serbian
Specifically trained for Serbian, effectively handling the language's unique grammatical and lexical features.
High Accuracy
Achieves 95.77% accuracy and 89.84% F1 score on the wikiann evaluation set.
Model Capabilities
Serbian text processing
Named entity recognition
Entity classification
Use Cases
Natural Language Processing
Information Extraction
Extract key information such as person names and place names from Serbian text.
Accurately identifies various entities.
Document Analysis
Analyze the distribution and relationships of entities in Serbian documents.
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