Update README.md

README.md

@@ -1,3 +1,60 @@
 ---
 license: mit
+language:
+- la
+tags:
+- cltk
+- latin
+library_name: spacy
 ---
+
+# Model Card for la_core_cltk_md
+
+md Latin model for spaCy trained on UD treebanks for tagging, parsing, lemmatization, and NER
+
+
+#  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. -->
+md Latin model for spaCy trained on UD treebanks for tagging, parsing, lemmatization, and NER
+
+- **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_core_cltk_md)
+
+# 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_core_cltk_md_2023,
+  title = {la\_core\_cltk\_md},  
+  version = 0.4.0, 
+  url = {https://github.com/diyclassics/la_core_cltk_md},
+  abstract = {spaCy-compatible md model for Latin},
+  urldate = {2023-03-12},
+  author = {Burns, Patrick J. with contributions from T. Geelhaar, N. Bernhardt, and V. Koch},
+  year = {2023},
+}
+```
+
+# How to Get Started with the Model
+
+- Install with...
+  - `pip install https://huggingface.co/diyclassics/la_core_cltk_md/resolve/main/la_core_cltk_md-0.4.0/dist/la_core_cltk_md-0.4.0.tar.gz`
+- Tested on python 3.10.8, spacy==3.5.1