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fef2
/
ner_rus_bert-secret_detection

Token Classification
Transformers
Safetensors
Russian
English
bert
ner
pii
secret-detection
credentials
masking
russian
Model card Files Files and versions
xet
Community

Instructions to use fef2/ner_rus_bert-secret_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fef2/ner_rus_bert-secret_detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="fef2/ner_rus_bert-secret_detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("fef2/ner_rus_bert-secret_detection")
    model = AutoModelForTokenClassification.from_pretrained("fef2/ner_rus_bert-secret_detection", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ner_rus_bert-secret_detection
715 MB
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  • 1 contributor
History: 4 commits
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fef2
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52b5b07 verified 4 days ago
  • core
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  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    16.9 kB
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  • config.json
    1.42 kB
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  • gitleaks.toml
    97.7 kB
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  • model.safetensors
    709 MB
    xet
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  • predict.py
    11.3 kB
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    3.57 MB
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  • tokenizer_config.json
    395 Bytes
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  • vocab.txt
    1.65 MB
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