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openchs
/
ner_distillbert_v1

Token Classification
Scikit-learn
PyTorch
TensorBoard
Safetensors
Transformers
English
distilbert
ner
mlflow
openchs
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
4

Instructions to use openchs/ner_distillbert_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use openchs/ner_distillbert_v1 with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("openchs/ner_distillbert_v1", "sklearn_model.joblib")
    )
    # only load pickle files from sources you trust
    # read more about it here https://skops.readthedocs.io/en/stable/persistence.html
  • Transformers

    How to use openchs/ner_distillbert_v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="openchs/ner_distillbert_v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("openchs/ner_distillbert_v1")
    model = AutoModelForTokenClassification.from_pretrained("openchs/ner_distillbert_v1")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#3 opened 8 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened 8 months ago by
SFconvertbot
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