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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

h2oai
/
deberta_finetuned_pii

Token Classification
Transformers
PyTorch
Safetensors
English
deberta
Model card Files Files and versions
xet
Community
2

Instructions to use h2oai/deberta_finetuned_pii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use h2oai/deberta_finetuned_pii with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="h2oai/deberta_finetuned_pii")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("h2oai/deberta_finetuned_pii")
    model = AutoModelForTokenClassification.from_pretrained("h2oai/deberta_finetuned_pii")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Dudas sobre como integrar este modelo en H2O en mi entorno Local (Docker)

#1 opened almost 2 years ago by
vigalgo
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs