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Corran
/
ScienceExamCER-Ner

Token Classification
Transformers
PyTorch
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xet
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1

Instructions to use Corran/ScienceExamCER-Ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Corran/ScienceExamCER-Ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Corran/ScienceExamCER-Ner")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Corran/ScienceExamCER-Ner", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

https://arxiv.org/abs/1911.10436

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Paper for Corran/ScienceExamCER-Ner

ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition

Paper • 1911.10436 • Published Nov 24, 2019
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