Instructions to use Dessan/ru_spacy_ru_updated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Dessan/ru_spacy_ru_updated with spaCy:
!pip install https://huggingface.co/Dessan/ru_spacy_ru_updated/resolve/main/ru_spacy_ru_updated-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("ru_spacy_ru_updated") # Importing as module. import ru_spacy_ru_updated nlp = ru_spacy_ru_updated.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fac6d77265a3b92866bdccd49f1205d125470f61c2722306d0dbc172ba56b7b0
- Size of remote file:
- 312 kB
- SHA256:
- 55b78e21229a03b2a66256305fceefb42a4fc1f7d36305fd41106e6ea1ada13c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.