Instructions to use deprem-ml/name_anonymization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deprem-ml/name_anonymization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="deprem-ml/name_anonymization")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("deprem-ml/name_anonymization") model = AutoModelForTokenClassification.from_pretrained("deprem-ml/name_anonymization") - Notebooks
- Google Colab
- Kaggle
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## Turkish Name Anonymization
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This model has been fine-tuned on a Turkish NER dataset to identify personal names, making it suitable for anonymization purposes.
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## Turkish Name Anonymization
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This model has been fine-tuned on a Turkish NER dataset to identify personal names, making it suitable for anonymization purposes.
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- **Language**: Turkish
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- **PLM**: dbmdz/bert-base-turkish-cased
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- **F1 Score**: 85%
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