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MohaAM
/
en_pipeline

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

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

  • Libraries
  • spaCy

    How to use MohaAM/en_pipeline with spaCy:

    !pip install https://huggingface.co/MohaAM/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
85.4 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
Omar Sanseviero
Update spaCy pipeline
e2cce30 almost 5 years ago
  • attribute_ruler
    Update spaCy pipeline almost 5 years ago
  • lemmatizer
    Update spaCy pipeline almost 5 years ago
  • ner
    Update spaCy pipeline almost 5 years ago
  • parser
    Update spaCy pipeline almost 5 years ago
  • tagger
    Update spaCy pipeline almost 5 years ago
  • tok2vec
    Update spaCy pipeline almost 5 years ago
  • vocab
    Update spaCy pipeline almost 5 years ago
  • .gitattributes
    957 Bytes
    Update spaCy pipeline almost 5 years ago
  • README.md
    3.01 kB
    Update spaCy pipeline almost 5 years ago
  • config.cfg
    3.98 kB
    Update spaCy pipeline almost 5 years ago
  • en_pipeline-any-py3-none-any.whl
    40.3 MB
    xet
    Update spaCy pipeline almost 5 years ago
  • meta.json
    4.46 kB
    Update spaCy pipeline almost 5 years ago
  • tokenizer
    77.7 kB
    Update spaCy pipeline almost 5 years ago