Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

lexedit
/
mbert-multilingual-legal-ner-pseudonymization

Token Classification
Transformers
ONNX
Polish
German
English
bert
named-entity-recognition
ner
pii
pii-detection
pseudonymization
pseudonymisation
anonymization
privacy
gdpr
data-protection
multilingual
polish
german
english
legal
legal-nlp
Model card Files Files and versions
xet
Community

Instructions to use lexedit/mbert-multilingual-legal-ner-pseudonymization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lexedit/mbert-multilingual-legal-ner-pseudonymization with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="lexedit/mbert-multilingual-legal-ner-pseudonymization")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("lexedit/mbert-multilingual-legal-ner-pseudonymization")
    model = AutoModelForTokenClassification.from_pretrained("lexedit/mbert-multilingual-legal-ner-pseudonymization", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mbert-multilingual-legal-ner-pseudonymization
182 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
i008's picture
i008
mbert-multilingual-legal-ner-pseudonymization: weights + ONNX + card + examples
88ab14c verified 3 days ago
  • examples
    mbert-multilingual-legal-ner-pseudonymization: weights + ONNX + card + examples 3 days ago
  • onnx
    mbert-multilingual-legal-ner-pseudonymization: weights + ONNX + card + examples 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 3 days ago
  • README.md
    10.7 kB
    mbert-multilingual-legal-ner-pseudonymization: weights + ONNX + card + examples 3 days ago
  • config.json
    2.05 kB
    mbert-multilingual-legal-ner-pseudonymization: weights + ONNX + card + examples 3 days ago
  • requirements.txt
    49 Bytes
    mbert-multilingual-legal-ner-pseudonymization: weights + ONNX + card + examples 3 days ago
  • special_tokens_map.json
    695 Bytes
    mbert-multilingual-legal-ner-pseudonymization: weights + ONNX + card + examples 3 days ago
  • tokenizer.json
    2.92 MB
    mbert-multilingual-legal-ner-pseudonymization: weights + ONNX + card + examples 3 days ago
  • tokenizer_config.json
    1.27 kB
    mbert-multilingual-legal-ner-pseudonymization: weights + ONNX + card + examples 3 days ago
  • vocab.txt
    996 kB
    mbert-multilingual-legal-ner-pseudonymization: weights + ONNX + card + examples 3 days ago