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

Deerpark
/
pii-tagger-edge

Token Classification
GLiNER
PyTorch
ONNX
English
multilingual
PII
NER
GLiNER
privacy
redaction
Model card Files Files and versions
xet
Community

Instructions to use Deerpark/pii-tagger-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER

    How to use Deerpark/pii-tagger-edge with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("Deerpark/pii-tagger-edge")
    
    text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal."
    labels = ["person", "date", "location"]
    
    entities = model.predict_entities(text, labels)
    for entity in entities:
        print(entity["text"], "=>", entity["label"])
  • Notebooks
  • Google Colab
  • Kaggle

You need to agree to share your Hugging Face information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Gated model
You can list files but not access them

Preview of files found in this repository
  • onnx
    Round 7: three more segments on tax forms, more documents and labelled emails, tweets and chats 4 days ago
  • .gitattributes
    1.52 kB
    initial commit 7 days ago
  • README.md
    7.38 kB
    Model card: add redaction example 2 days ago
  • gliner_config.json
    4.3 kB
    veil-tagger-edge: GLiNER PII edge fine-tuned for veil (PyTorch and 16-bit ONNX), with its model card 7 days ago
  • pytorch_model.bin
    181 MB
    xet
    Round 7: three more segments on tax forms, more documents and labelled emails, tweets and chats 4 days ago
  • tokenizer.json
    3.58 MB
    veil-tagger-edge: GLiNER PII edge fine-tuned for veil (PyTorch and 16-bit ONNX), with its model card 7 days ago
  • tokenizer_config.json
    599 Bytes
    veil-tagger-edge: GLiNER PII edge fine-tuned for veil (PyTorch and 16-bit ONNX), with its model card 7 days ago