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  license: mit
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  license: mit
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+ # Model Card for la_dep_cltk_sm
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+
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+ sm Latin model for spaCy trained on UD treebanks for tagging, parsing and lemmatization
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+
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+ # Table of Contents
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+
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+ - [Model Card for la_dep_cltk_sm](#model-card-for--model_id-)
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+ - [Table of Contents](#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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+
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+ # Model Details
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+
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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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+ sm Latin model for spaCy trained on UD treebanks for tagging, parsing and lemmatization
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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_dep_cltk_sm)
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+
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+ # Citation
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+
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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_dep_cltk_sm_2022,
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+ title = {la\_dep\_cltk\_sm},
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+ version = 0.2.0,
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+ url = {https://github.com/diyclassics/la_dep_cltk_sm},
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+ abstract = {spaCy-compatible sm model for Latin},
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+ urldate = {2022-12-26},
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+ author = {Burns, Patrick J.},
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+ year = {2022},
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+ }
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+ ```
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+
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+ # How to Get Started with the Model
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+
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+ - Install with...
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+ - `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`
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+ - Tested on python 3.10.8, spacy==3.4.2