Instructions to use spacy/ru_core_news_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacy/ru_core_news_sm with spaCy:
!pip install https://huggingface.co/spacy/ru_core_news_sm/resolve/main/ru_core_news_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("ru_core_news_sm") # Importing as module. import ru_core_news_sm nlp = ru_core_news_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5edc8eb4f12c0a9b724446694b502480ca0b7ff1ac165cada6b7a38979eb0c5
- Size of remote file:
- 6.27 MB
- SHA256:
- 831172259ebcc925a122a1ae7b8c353c4028c23981f74585a6954a3df35592c0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.