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---
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-details)
- [Model Description](#model-description)
- [Citation](#citation)
- [How to Get Started with the Model](#how-to-get-started-with-the-model)
# Model Details
## Model Description
<!-- Provide a longer summary of what this model is/does. -->
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:**
- [GitHub Repo](https://github.com/diyclassics/la_core_cltk_md)
# Citation
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**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 |