Instructions to use patthub/pl_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use patthub/pl_pipeline with spaCy:
!pip install https://huggingface.co/patthub/pl_pipeline/resolve/main/pl_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("pl_pipeline") # Importing as module. import pl_pipeline nlp = pl_pipeline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2a13f33dc754b4406fa56cc255ec1b6b5de2dc008aa3cb5c1ed675c7fe7f18c
- Size of remote file:
- 1.42 GB
- SHA256:
- fc2034768700a91be795bad4c08c2cb16e25eecf9988926b623cd570251dd642
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