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josephmars
/
en_pipeline

Text Classification
spaCy
English
token-classification
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • spaCy

    How to use josephmars/en_pipeline with spaCy:

    !pip install https://huggingface.co/josephmars/en_pipeline/resolve/main/en_pipeline-any-py3-none-any.whl
    
    # Using spacy.load().
    import spacy
    nlp = spacy.load("en_pipeline")
    
    # Importing as module.
    import en_pipeline
    nlp = en_pipeline.load()
  • Notebooks
  • Google Colab
  • Kaggle
en_pipeline
1.67 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Joseph Martínez
Update spaCy pipeline
8c670f8 over 3 years ago
  • morphologizer
    Update spaCy pipeline over 3 years ago
  • ner
    Update spaCy pipeline over 3 years ago
  • parser
    Update spaCy pipeline over 3 years ago
  • tagger
    Update spaCy pipeline over 3 years ago
  • textcat
    Update spaCy pipeline over 3 years ago
  • tok2vec
    Update spaCy pipeline over 3 years ago
  • vocab
    Update spaCy pipeline over 3 years ago
  • .gitattributes
    1.8 kB
    Update spaCy pipeline over 3 years ago
  • README.md
    7.55 kB
    Update spaCy pipeline over 3 years ago
  • config.cfg
    4.83 kB
    Update spaCy pipeline over 3 years ago
  • en_pipeline-any-py3-none-any.whl
    793 MB
    xet
    Update spaCy pipeline over 3 years ago
  • meta.json
    14.4 kB
    Update spaCy pipeline over 3 years ago
  • tokenizer
    77.8 kB
    Update spaCy pipeline over 3 years ago