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metadata
license: mit
language:
  - la
tags:
  - cltk
  - latin
library_name: spacy

Model Card for la_core_cltk_md

md Latin model for spaCy trained on UD treebanks for tagging, parsing, lemmatization, and NER

Table of Contents

Model Details

Model Description

md Latin model for spaCy trained on UD treebanks for tagging, parsing, lemmatization, and NER

  • Developed by: Patrick J. Burns
  • Model type: spaCy model
  • Language(s) (NLP): la
  • License: mit
  • Resources for more information:

Citation

BibTeX:

@misc{burns_la_core_cltk_md_2023,
  title = {la\_core\_cltk\_md},  
  version = 0.4.0, 
  url = {https://github.com/diyclassics/la_core_cltk_md},
  abstract = {spaCy-compatible md model for Latin},
  urldate = {2023-03-12},
  author = {Burns, Patrick J. with contributions from T. Geelhaar, N. Bernhardt, and V. Koch},
  year = {2023},
}

How to Get Started with the Model

  • Install with...
    • pip install https://huggingface.co/diyclassics/la_core_cltk_md/resolve/main/la_core_cltk_md-0.4.0/dist/la_core_cltk_md-0.4.0.tar.gz
  • Tested on python 3.10.8, spacy==3.5.1