README.md

---
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