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Tanor
/
sr_pipeline

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

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

  • Libraries
  • spaCy

    How to use Tanor/sr_pipeline with spaCy:

    !pip install https://huggingface.co/Tanor/sr_pipeline/resolve/main/sr_pipeline-any-py3-none-any.whl
    
    # Using spacy.load().
    import spacy
    nlp = spacy.load("sr_pipeline")
    
    # Importing as module.
    import sr_pipeline
    nlp = sr_pipeline.load()
  • Notebooks
  • Google Colab
  • Kaggle
sr_pipeline
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Tanor's picture
Tanor
Update spaCy pipeline
6769240 verified almost 2 years ago
  • entity_linker
    Update spaCy pipeline almost 2 years ago
  • ner
    Update spaCy pipeline almost 2 years ago
  • tagger
    Update spaCy pipeline almost 2 years ago
  • tok2vec
    Update spaCy pipeline almost 2 years ago
  • vocab
    Update spaCy pipeline almost 2 years ago
  • .gitattributes
    1.8 kB
    Update spaCy pipeline almost 2 years ago
  • README.md
    569 Bytes
    Update spaCy pipeline almost 2 years ago
  • config.cfg
    4.22 kB
    Update spaCy pipeline almost 2 years ago
  • meta.json
    2.05 kB
    Update spaCy pipeline almost 2 years ago
  • sentencizer.json
    2.31 kB
    Update spaCy pipeline almost 2 years ago
  • sr_pipeline-any-py3-none-any.whl
    92.5 MB
    xet
    Update spaCy pipeline almost 2 years ago
  • tokenizer
    43.1 kB
    Update spaCy pipeline almost 2 years ago