Instructions to use latincy/la_vectors_floret_lg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use latincy/la_vectors_floret_lg with spaCy:
!pip install https://huggingface.co/latincy/la_vectors_floret_lg/resolve/main/la_vectors_floret_lg-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("la_vectors_floret_lg") # Importing as module. import la_vectors_floret_lg nlp = la_vectors_floret_lg.load() - Notebooks
- Google Colab
- Kaggle
| { | |
| "lang":"la", | |
| "name":"vectors_floret_lg", | |
| "version":"3.8.0", | |
| "description":"Code required to train lg floret embeddings for Latin on LatinCy Assets data. Based on spaCy project [Train floret vectors from Wikipedia and OSCAR](https://github.com/explosion/projects/tree/v3/pipelines/floret_wiki_oscar_vectors).", | |
| "author":"Patrick J. Burns", | |
| "email":"pjb311@nyu.edu", | |
| "url":"https://diyclassics.github.io/", | |
| "license":"MIT", | |
| "spacy_version":">=3.8.3,<3.9.0", | |
| "spacy_git_version":"be0fa81", | |
| "vectors":{ | |
| "width":300, | |
| "vectors":200000, | |
| "keys":-1, | |
| "name":"la_vectors_floret_lg.vectors" | |
| }, | |
| "labels":{ | |
| }, | |
| "pipeline":[ | |
| ], | |
| "components":[ | |
| ], | |
| "disabled":[ | |
| ], | |
| "title":"la_vectors_floret_lg", | |
| "sources":[ | |
| "UD_Latin-Perseus", | |
| "UD_Latin-PROIEL", | |
| "UD_Latin-ITTB", | |
| "UD_Latin-LLCT", | |
| "UD_Latin-UDante", | |
| "Wikipedia", | |
| "OSCAR", | |
| "Corpus Thomisticum", | |
| "The Latin Library", | |
| "CLTK-Tesserae Latin", | |
| "Patrologia Latina" | |
| ], | |
| "requirements":[ | |
| "spacy>=3.8.3,<3.9.0" | |
| ] | |
| } |