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FERNET News
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FERNET News
Developed by fav-kky
FERNET-News is a monolingual base model based on Czech RoBERTa, pre-trained on a thoroughly cleaned 20.5GB Czech news corpus.
Downloads 17
Release Time : 3/2/2022
Model Overview
This model is a pre-trained language model specifically for Czech, primarily used for Czech text tasks such as text classification and named entity recognition.
Model Features
Czech Language Optimization
Specifically pre-trained for Czech, optimizing Czech text processing capabilities.
High-Quality Corpus
Trained on a thoroughly cleaned 20.5GB Czech news corpus to ensure data quality.
RoBERTa Architecture
Based on the RoBERTa architecture, offering robust language understanding capabilities.
Model Capabilities
Czech text comprehension
Text classification
Named entity recognition
Use Cases
News Analysis
News Classification
Classify Czech news articles
Entity Recognition
Identify named entities from Czech news
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