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:
- 3c2a0f56469e907a5e55dda843a65c57dd3d13615969b2f20c61feeca59b7a29
- Size of remote file:
- 3.23 MB
- SHA256:
- e7fe759c151de8189b0b83a5da920773ea5549030c69ba958afbd5e194a4049e
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