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autoevaluate
/
entity-extraction

Token Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
10

Instructions to use autoevaluate/entity-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use autoevaluate/entity-extraction with Transformers:

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

Librarian Bot: Add base_model information to model

#10 opened over 2 years ago by
librarian-bot

Adding `safetensors` variant of this model

#9 opened about 3 years ago by
SFconvertbot

Add evaluation results on the autoevaluate--conll2003-sample config and test split of autoevaluate/conll2003-sample

#8 opened over 3 years ago by
lewtun

Add evaluation results on the autoevaluate--conll2003-sample config and test split of autoevaluate/conll2003-sample

#7 opened over 3 years ago by
lewtun

Add evaluation results on the conll2003 config of conll2003

#6 opened over 3 years ago by
autoevaluator

Add evaluation results on the conll2003 config of conll2003

#5 opened almost 4 years ago by
lewtun

Add evaluation results on conll2003

#4 opened almost 4 years ago by
autoevaluator

Add evaluation results on conll2003

#3 opened almost 4 years ago by
lewtun
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