Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

wizardofchance
/
ner-model

Token Classification
Transformers
Safetensors
distilbert
Model card Files Files and versions
xet
Community

Instructions to use wizardofchance/ner-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wizardofchance/ner-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="wizardofchance/ner-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("wizardofchance/ner-model")
    model = AutoModelForTokenClassification.from_pretrained("wizardofchance/ner-model")
  • Notebooks
  • Google Colab
  • Kaggle
ner-model
262 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
wizardofchance's picture
wizardofchance
Upload TokenClassificationPipeline
29a77fd verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload TokenClassificationPipeline about 2 years ago
  • config.json
    951 Bytes
    Upload TokenClassificationPipeline about 2 years ago
  • model.safetensors
    261 MB
    xet
    Upload TokenClassificationPipeline about 2 years ago
  • special_tokens_map.json
    695 Bytes
    Upload TokenClassificationPipeline about 2 years ago
  • tokenizer.json
    669 kB
    Upload TokenClassificationPipeline about 2 years ago
  • tokenizer_config.json
    1.23 kB
    Upload TokenClassificationPipeline about 2 years ago
  • vocab.txt
    213 kB
    Upload TokenClassificationPipeline about 2 years ago