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:
- cb4febdddae257e440e62bf556f474c7c9663f4e18b95c557584fa8cde1b5da6
- Size of remote file:
- 1.31 MB
- SHA256:
- f10627f42336621508882a0520ec9d7a3e50fac24f2e239708e0cdacb47698e0
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