Instructions to use MohaAM/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use MohaAM/en_pipeline with spaCy:
!pip install https://huggingface.co/MohaAM/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 tagger/model from MohaAM/en_pipeline: direct link, hf CLI and curl.
- Browser
- Download file 19.4 kB
-
https://huggingface.co/MohaAM/en_pipeline/resolve/main/tagger/model
- Command line
-
hf download hf://MohaAM/en_pipeline/tagger/model
-
curl -L -o model https://huggingface.co/MohaAM/en_pipeline/resolve/main/tagger/model
19.4 kB
- Xet hash:
- 43acdcb680bdfc3cfdb316f9d778e87a7979adc8947367bb2205abda605853bb
- Size of remote file:
- 19.4 kB
- SHA256:
- 9e44dee97269622028054bed3a2afe95fe262a4c0a29d03cd27bb97132e789c5
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