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README.md
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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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- [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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<!-- 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)
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