Bert Base Turkish Cased by dbmdz

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Bert Base Turkish Cased 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 Turkish Cased (dbmdz/bert-base-turkish-cased)

Bert Base Turkish Cased Parameters and Internals

Model Type 
text processing
Use Cases 
Areas:
Research
Applications:
NLP tasks like PoS tagging, NER
Additional Notes 
The BERTurk model is available on Hugging Face model hub.
Supported Languages 
Turkish (Proficient)
Training Details 
Data Sources:
Turkish OSCAR corpus, Wikipedia dump, OPUS corpora, Corpus by Kemal Oflazer
Data Volume:
44,04,976,662 tokens
Methodology:
Pre-trained using BERT infrastructure
Hardware Used:
TPU v3-8
Release Notes 
Notes:
Initial release of BERTurk cased model for Turkish.
LLM NameBert Base Turkish Cased
Repository ๐Ÿค—https://huggingface.co/dbmdz/bert-base-turkish-cased 
Model Size111.2m
Required VRAM0.4 GB
Updated2025-02-22
Maintainerdbmdz
Model Typebert
Model Files  0.4 GB   0.4 GB
Supported Languagestr
Model ArchitectureAutoModel
Licensemit
Context Length512
Model Max Length512
Vocabulary Size32000

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227