Instructions to use diyclassics/la_core_cltk_md with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use diyclassics/la_core_cltk_md with spaCy:
!pip install https://huggingface.co/diyclassics/la_core_cltk_md/resolve/main/la_core_cltk_md-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("la_core_cltk_md") # Importing as module. import la_core_cltk_md nlp = la_core_cltk_md.load() - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
language:
- la
tags:
- cltk
- latin
- latincy
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
DEPRECATED — PLEASE USE la_core_web_md