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  md Latin model for spaCy trained on UD treebanks for tagging, parsing, lemmatization, and NER
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- # Table of Contents
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-
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- - [Model Details](#model-details)
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- - [Model Description](#model-description)
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- - [Citation](#citation)
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- - [How to Get Started with the Model](#how-to-get-started-with-the-model)
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- # Model Details
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- ## Model Description
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-
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- <!-- Provide a longer summary of what this model is/does. -->
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- md Latin model for spaCy trained on UD treebanks for tagging, parsing, lemmatization, and NER
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- - **Developed by:** Patrick J. Burns
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- - **Model type:** spaCy model
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- - **Language(s) (NLP):** la
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- - **License:** mit
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- - **Resources for more information:**
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- - [GitHub Repo](https://github.com/diyclassics/la_core_cltk_md)
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- # Citation
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- ```
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- @misc{burns_la_core_cltk_md_2023,
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- title = {la\_core\_cltk\_md},
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- version = 3.5.0,
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- url = {https://github.com/diyclassics/la_core_cltk_md},
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- abstract = {spaCy-compatible md model for Latin},
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- urldate = {2023-04-17},
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- author = {Burns, Patrick J. with contributions from T. Geelhaar, N. Bernhardt, and V. Koch},
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- year = {2023},
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- }
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- ```
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- # How to Get Started with the Model
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- - Install with...
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- - `pip install https://huggingface.co/diyclassics/la_core_cltk_md/resolve/main/la_core_cltk_md-3.5.0/dist/la_core_cltk_md-3.5.0.tar.gz`
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- - Tested on python 3.10.8, spacy==3.5.1
 
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  md Latin model for spaCy trained on UD treebanks for tagging, parsing, lemmatization, and NER
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+ DEPRECATED — PLEASE USE [la_core_web_md](https://huggingface.co/latincy/la_core_web_md)