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rame
/
en_pipeline_ner_model_d

Token Classification
spaCy
English
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • spaCy

    How to use rame/en_pipeline_ner_model_d with spaCy:

    !pip install https://huggingface.co/rame/en_pipeline_ner_model_d/resolve/main/en_pipeline_ner_model_d-any-py3-none-any.whl
    
    # Using spacy.load().
    import spacy
    nlp = spacy.load("en_pipeline_ner_model_d")
    
    # Importing as module.
    import en_pipeline_ner_model_d
    nlp = en_pipeline_ner_model_d.load()
  • Notebooks
  • Google Colab
  • Kaggle
en_pipeline_ner_model_d / transformer
266 MB
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  • 1 contributor
History: 1 commit
rame's picture
rame
Update spaCy pipeline
386cc2f verified over 2 years ago
  • cfg
    28 Bytes
    Update spaCy pipeline over 2 years ago
  • model
    266 MB
    xet
    Update spaCy pipeline over 2 years ago