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Bert Base German Cased Gnad10
B
Bert Base German Cased Gnad10
Developed by laiking
A German news text classification model fine-tuned from bert-base-german-cased, trained on the 10K GNAD dataset
Downloads 699
Release Time : 3/2/2022
Model Overview
This is a BERT model specifically designed for classifying German news articles, fine-tuned from google-bert/bert-base-german-cased, suitable for German news text classification tasks.
Model Features
German-Specific
BERT model optimized specifically for German text
News Classification
Specialized in classification tasks for German news articles
High-Quality Dataset
Trained using the 10K GNAD dataset (GNAD10)
Model Capabilities
German Text Classification
News Article Classification
German Natural Language Processing
Use Cases
News Media
Automatic News Classification
Automatically classify German news articles into predefined categories
Content Recommendation System
Build personalized recommendation systems based on news classification results
Information Management
News Archive Management
Automatically organize and classify large volumes of German news documents
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