README.md

---
license: mit
---

# Model Card for la_dep_cltk_sm

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


#  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. -->
sm Latin model for spaCy trained on UD treebanks for tagging, parsing and lemmatization

- **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_dep_cltk_sm)

# 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_dep_cltk_sm_2022,
  title = {la\_dep\_cltk\_sm},  
  version = 0.2.0, 
  url = {https://github.com/diyclassics/la_dep_cltk_sm},
  abstract = {spaCy-compatible sm model for Latin},
  urldate = {2022-12-26},
  author = {Burns, Patrick J.},
  year = {2022},
}
```

# How to Get Started with the Model

- Install with...
  - `pip install https://huggingface.co/diyclassics/la_dep_cltk_sm/resolve/main/la_dep_cltk_sm-0.2.0/dist/la_dep_cltk_sm-0.2.0.tar.gz`
- Tested on python 3.10.8, spacy==3.4.2