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:
- 08c4e417d3111d853f4126b970f2f90b316ca95909df4a9c79c5d76b2008f675
- Size of remote file:
- 25.2 MB
- SHA256:
- a6c80023372815b9f585fd885b425855b647c1a32d33288f11030583929e8685
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