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thet-system
/
en_core_sci_md

Token Classification
spaCy
English
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use thet-system/en_core_sci_md with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • spaCy

    How to use thet-system/en_core_sci_md with spaCy:

    !pip install https://huggingface.co/thet-system/en_core_sci_md/resolve/main/en_core_sci_md-any-py3-none-any.whl
    
    # Using spacy.load().
    import spacy
    nlp = spacy.load("en_core_sci_md")
    
    # Importing as module.
    import en_core_sci_md
    nlp = en_core_sci_md.load()
  • Notebooks
  • Google Colab
  • Kaggle

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  • attribute_ruler
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  • lemmatizer
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  • ner
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  • parser
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  • tagger
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  • tok2vec
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  • vocab
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  • .gitattributes
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  • README.md
    3.14 kB
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  • config.cfg
    4.56 kB
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  • en_core_sci_md-any-py3-none-any.whl
    120 MB
    xet
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  • linking.py
    6 kB
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  • meta.json
    2.84 kB
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  • requirements.txt
    7.36 kB
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  • tokenizer
    74.3 kB
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