Bertatweetgr
A lightweight RoBERTa fill-mask model primarily trained on Greek tweets
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Release Time : 3/2/2022
Model Overview
This model was trained on 23 million Greek tweets and is mainly used for multimodal hate speech detection research in Greek social media
Model Features
Trained on Greek social media data
Trained on 23 million Greek tweets, particularly suitable for Greek social media text analysis
Lightweight model
As a lightweight RoBERTa model, it's suitable for resource-constrained environments
Hate speech detection support
Specifically designed for multimodal hate speech detection research in Greek social media
Model Capabilities
Text filling
Greek text understanding
Social media text analysis
Use Cases
Social media analysis
Hate speech detection
Identifying hate speech content in Greek social media
Supports related academic research
Text completion
Automatically completing missing parts in Greek social media text
Academic research
Greek NLP research
Providing a foundational model for Greek natural language processing research
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