Instructions to use te-sla/sr_nel_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use te-sla/sr_nel_all with spaCy:
!pip install https://huggingface.co/te-sla/sr_nel_all/resolve/main/sr_nel_all-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("sr_nel_all") # Importing as module. import sr_nel_all nlp = sr_nel_all.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8348d7c7f26d9a8efc9f432bdf80c4c9385f0e175c0a9faca2c7a9a5f46fc113
- Size of remote file:
- 65 MB
- SHA256:
- 2765275dcc7ed4b74d8bf782d46b4156db3ae69f6b02e635a1bd798754b17fc3
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