Text Classification
Transformers
Safetensors
Turkish
English
bert
kvkk
verbis
gdpr
pii
privacy
data-classification
multi-label
turkish
pii-detection
personal-data
sensitive-data
data-masking
Eval Results (legacy)
text-embeddings-inference
Instructions to use halilneed/turkish-kvkk-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use halilneed/turkish-kvkk-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="halilneed/turkish-kvkk-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("halilneed/turkish-kvkk-classifier") model = AutoModelForSequenceClassification.from_pretrained("halilneed/turkish-kvkk-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Link the card to halilneed.agency and the personal data guide
Browse files
README.md
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@@ -34,6 +34,8 @@ Maskeleme modeliyle birlikte: [halilneed/turkish-pii-detection](https://huggingf
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Bankacılık veri sınıfı (hassas veri, müşteri sırrı, banka sırrı — BSEBY): [halilneed/turkish-bseby-classifier](https://huggingface.co/halilneed/turkish-bseby-classifier)
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## Etiketler
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| Genel (VERBİS) | Özel nitelikli (KVKK md. 6) |
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Bankacılık veri sınıfı (hassas veri, müşteri sırrı, banka sırrı — BSEBY): [halilneed/turkish-bseby-classifier](https://huggingface.co/halilneed/turkish-bseby-classifier)
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Tanıtım sayfası: [halilneed.agency/models/turkish-kvkk-classifier](https://halilneed.agency/models/turkish-kvkk-classifier/tr/) · Ekipler için rehber: [Kişisel veri ve yapay zekâ](https://halilneed.agency/guides/personal-data/tr/) (metni bir modele göndermeden önce neyi maskelemeli, neyi içeride tutmalı)
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## Etiketler
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| Genel (VERBİS) | Özel nitelikli (KVKK md. 6) |
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