# Historical Text Analysis
Chrono Bert V1 19991231
MIT
ChronoBERT is a series of high-performance temporally consistent large language models designed to eliminate look-ahead bias and training data leakage while maintaining strong language understanding capabilities in time-sensitive applications.
Large Language Model
Transformers English

C
manelalab
167
1
Historical Newspaper Ner
A named entity recognition model fine-tuned based on Roberta-large, specifically designed for historical newspaper texts that may contain OCR errors.
Sequence Labeling
Transformers English

H
dell-research-harvard
209
8
Mdeberta V3 Base Turkish Ner
MIT
A Turkish named entity recognition model fine-tuned based on microsoft/mDeBERTa-v3-base, excelling in Turkish NER tasks.
Sequence Labeling
Transformers Other

M
akdeniz27
60
1
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