Instructions to use Tanor/sr_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Tanor/sr_pipeline with spaCy:
!pip install https://huggingface.co/Tanor/sr_pipeline/resolve/main/sr_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("sr_pipeline") # Importing as module. import sr_pipeline nlp = sr_pipeline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e595d9a2540e6f51527226bd6ce8ce133cd0a387873038ef0399f709e4d913a
- Size of remote file:
- 65 MB
- SHA256:
- 2765275dcc7ed4b74d8bf782d46b4156db3ae69f6b02e635a1bd798754b17fc3
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