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

Xiaoman
/
NER-CoNLL2003

Token Classification
Transformers
PyTorch
TensorBoard
bert
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Xiaoman/NER-CoNLL2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Xiaoman/NER-CoNLL2003 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Xiaoman/NER-CoNLL2003")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Xiaoman/NER-CoNLL2003")
    model = AutoModelForTokenClassification.from_pretrained("Xiaoman/NER-CoNLL2003", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
NER-CoNLL2003 / runs
13.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Xiaoman's picture
Xiaoman
End of training
6c405f4 about 4 years ago
  • May13_05-44-44_988c81bcea01
    End of training about 4 years ago