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bert-2K-minimal
turkish-nlp-suite/bert-2K-minimal
bert-2K-minimal is a feature extraction model from turkish-nlp-suite. Use it when you need embeddings to search or compare text. It is set up for transformers.
This is a BERT model from the Turkish transformer collection of research work Optimal Turkish Subword Strategies at Scale: Systematic Evaluation of Data, Vocabulary, Morphology Interplay.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 28, 2024
- Updated
- Feb 16, 2026
- SHA
- 0d239e49
Model card
From the Hugging Face model README
This is a BERT model from the Turkish transformer collection of research work Optimal Turkish Subword Strategies at Scale: Systematic Evaluation of Data, Vocabulary, Morphology Interplay.
The collection Turkish Subwords Research contains BERT models and this model read as trained with wordpiece-2K-minimal tokenizer. Tokenizers comes with several vocabulary sizes and trained on 3 sizes of corpora, minimal, medium and alldata. The collection contains all the tokenizers of the name wordpiece_{voxab-size}k_{corpus size}. For more information, plrease refer to the research paper.
This is not a production model, RESEARCH PURPOSES only.
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- Created
- Jun 28, 2024
- Updated
- Feb 16, 2026