Instructions to use rahulpointer/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use rahulpointer/en_pipeline with spaCy:
!pip install https://huggingface.co/rahulpointer/en_pipeline/resolve/main/en_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_pipeline") # Importing as module. import en_pipeline nlp = en_pipeline.load() - Notebooks
- Google Colab
- Kaggle
Download tok2vec/cfg from rahulpointer/en_pipeline: direct link, hf CLI and curl.
- Browser
- Download file 4 Bytes
-
https://huggingface.co/rahulpointer/en_pipeline/resolve/main/tok2vec/cfg
- Command line
-
hf download hf://rahulpointer/en_pipeline/tok2vec/cfg
-
curl -L -o cfg https://huggingface.co/rahulpointer/en_pipeline/resolve/main/tok2vec/cfg
4 Bytes
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