Instructions to use nishantk613/en_Task3_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use nishantk613/en_Task3_pipeline with spaCy:
!pip install https://huggingface.co/nishantk613/en_Task3_pipeline/resolve/main/en_Task3_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_Task3_pipeline") # Importing as module. import en_Task3_pipeline nlp = en_Task3_pipeline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0eeb468d314b30ad6e3827828e9d3990fee76ed5241c1d29ab5c2ffe0c27bc44
- Size of remote file:
- 34.4 MB
- SHA256:
- 1717ba680766988b05e2c8c08d9ff7414a5ffcff1e2a71c78e6d16e9887180c9
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