Parlbert German Law
BERT model trained on German legal data, specialized in legal text processing
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Release Time : 8/28/2023
Model Overview
This model is based on the parlbert-topic-german architecture, trained on German legal data using masked language modeling techniques, aiming to obtain a model capable of processing legal texts. It requires fine-tuning for specific tasks before use.
Model Features
Legal domain specialization
Specially trained on German legal data, with enhanced comprehension of legal texts
Based on BERT architecture
Utilizes the proven BERT architecture with powerful language representation capabilities
Requires task fine-tuning
The model needs fine-tuning for the final use case (e.g., classification, inference) to achieve optimal performance
Model Capabilities
German text understanding
Legal text processing
Language representation learning
Use Cases
Legal text processing
Legal text classification
Classifying German legal documents
Legal information extraction
Extracting key information from legal texts
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