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samrawal
/
bert-base-uncased_clinical-ner

Token Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
bert
Model card Files Files and versions
xet
Community
6

Instructions to use samrawal/bert-base-uncased_clinical-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use samrawal/bert-base-uncased_clinical-ner with Transformers:

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

Is this published somewhere?

#6 opened over 1 year ago by
Anuja

Is this model commercially usable?

#5 opened almost 3 years ago by
AayushShah

Can I find the "evaluation metrics" of this model?

#4 opened almost 3 years ago by
AayushShah

Adding `safetensors` variant of this model

#3 opened about 3 years ago by
SFconvertbot

Trying to add an example for the inference, so people can see what this model does

#1 opened almost 4 years ago by
rajistics
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