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Ltrc Roberta
L
Ltrc Roberta
Developed by ltrctelugu
This is a RoBERTa model trained on 8.8 million Telugu sentences, specifically optimized for Telugu natural language processing tasks.
Downloads 52
Release Time : 3/2/2022
Model Overview
This model is a Telugu pretrained language model based on the RoBERTa architecture, suitable for various natural language processing tasks such as text classification and named entity recognition.
Model Features
Telugu Optimization
Specifically optimized for Telugu, enabling better understanding and processing of Telugu text.
Based on RoBERTa Architecture
Utilizes the RoBERTa architecture, offering robust language understanding and generation capabilities.
Large-scale Training Data
Trained on 8.8 million Telugu sentences, providing extensive language coverage.
Model Capabilities
Text Classification
Named Entity Recognition
Text Generation
Language Understanding
Use Cases
Text Analysis
Telugu Text Classification
Classify Telugu texts, such as sentiment analysis and topic classification.
Named Entity Recognition
Identify entities like names, locations, and organizations in Telugu texts.
Language Generation
Telugu Text Generation
Generate contextually appropriate Telugu text.
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