readme: ---
  license: mit
  ---
  
  # Model Card for la_senter
  
  spaCy-compatible sentence segmenter for Latin
  
  
  #  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. -->
  spaCy-compatible sentence segmenter for Latin trained on UD treebanks
  
  - **Developed by:** Patrick J. Burns
  - **Model type:** spaCy `senter` model
  - **Language(s) (NLP):** la
  - **License:** mit
  - **Resources for more information:** 
      - [GitHub Repo](https://github.com/diyclassics/la_senter)
  
  # 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_senter_2022,
    title = {la\_senter},  
    version = 0.1.0, 
    url = {https://github.com/diyclassics/la_senter},
    abstract = {spaCy-compatible sentence segmenter for Latin},
    urldate = {2022-12-29},
    author = {Burns, Patrick J.},
    year = {2022},
  }
  ```
  
  # How to Get Started with the Model
  
  - Install with...
    - `pip install https://huggingface.co/diyclassics/la_senter/resolve/main/la_senter-0.1.0/dist/la_senter-0.1.0.tar.gz`
  - Tested on python 3.10.8, spacy==3.4.2
  