Instructions to use Dessan/ru_custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Dessan/ru_custom with spaCy:
!pip install https://huggingface.co/Dessan/ru_custom/resolve/main/ru_custom-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("ru_custom") # Importing as module. import ru_custom nlp = ru_custom.load() - Notebooks
- Google Colab
- Kaggle
Download tok2vec/model from Dessan/ru_custom: direct link, hf CLI and curl.
- Browser
- Download file 6.5 MB
-
https://huggingface.co/Dessan/ru_custom/resolve/main/tok2vec/model
- Command line
-
hf download hf://Dessan/ru_custom/tok2vec/model
-
curl -L -o model https://huggingface.co/Dessan/ru_custom/resolve/main/tok2vec/model
6.5 MB
- Xet hash:
- c783ab730651230032a0a96376a122248e635bc907cab00ca50402b9241ceae6
- Size of remote file:
- 6.5 MB
- SHA256:
- 746f18b39f2bc761880b0b92d5b2b706db751b43d935789a2c194d96f330c0f1
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