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
| 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](https://huggingface.co/latincy/la_core_web_md) | |