Instructions to use Sovego/ru_ner_visualization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Sovego/ru_ner_visualization with spaCy:
!pip install https://huggingface.co/Sovego/ru_ner_visualization/resolve/main/ru_ner_visualization-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("ru_ner_visualization") # Importing as module. import ru_ner_visualization nlp = ru_ner_visualization.load() - Notebooks
- Google Colab
- Kaggle
Download vocab/strings.json from Sovego/ru_ner_visualization: direct link, hf CLI and curl.
- Browser
- Download file 49.9 MB
-
https://huggingface.co/Sovego/ru_ner_visualization/resolve/main/vocab/strings.json
- Command line
-
hf download hf://Sovego/ru_ner_visualization/vocab/strings.json
-
curl -L -o strings.json https://huggingface.co/Sovego/ru_ner_visualization/resolve/main/vocab/strings.json
49.9 MB
- Xet hash:
- 6dfb6362c4b6b42c0d75255656b145b46dfde4e983e607ef59c0e05866ab6dec
- Size of remote file:
- 49.9 MB
- SHA256:
- 47a589dfaa16475e2634a2dcc11a065e4d1631517da79919a6671c32d357460e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.