Bert Base Romanian Cased V1 by dumitrescustefan

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  Bert   Endpoints compatible   Fill-mask   Jax   Pytorch   Region:us   Ro   Safetensors

Bert Base Romanian Cased V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bert Base Romanian Cased V1 (dumitrescustefan/bert-base-romanian-cased-v1)

Bert Base Romanian Cased V1 Parameters and Internals

Model Type 
fill-mask
Additional Notes 
The model was NOT trained on cedilla s and t.
Supported Languages 
Romanian (cased)
Training Details 
Data Sources:
OPUS, OSCAR, Wikipedia
Data Volume:
15GB
Input Output 
Performance Tips:
Remember to sanitize text by replacing 'ลฃ' with 'ศ›' and 'ลŸ' with 'ศ™'.
LLM NameBert Base Romanian Cased V1
Repository ๐Ÿค—https://huggingface.co/dumitrescustefan/bert-base-romanian-cased-v1 
Model Size125.1m
Required VRAM0.5 GB
Updated2025-04-30
Maintainerdumitrescustefan
Model Typebert
Model Files  0.5 GB   0.5 GB
Supported Languagesro
Model ArchitectureAutoModel
Licensemit
Context Length512
Model Max Length512
Vocabulary Size50000

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227