Instructions to use diyclassics/la_dep_cltk_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use diyclassics/la_dep_cltk_sm with spaCy:
!pip install https://huggingface.co/diyclassics/la_dep_cltk_sm/resolve/main/la_dep_cltk_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("la_dep_cltk_sm") # Importing as module. import la_dep_cltk_sm nlp = la_dep_cltk_sm.load() - Notebooks
- Google Colab
- Kaggle
File size: 290 Bytes
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license: mit
language:
- la
library_name: spacy
tags:
- cltk
- latin
---
# Model Card for la_dep_cltk_sm
sm Latin model for spaCy trained on UD treebanks for tagging, parsing and lemmatization
DEPRECATED — PLEASE USE [la_core_web_sm](https://huggingface.co/latincy/la_core_web_sm)
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