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 ner/model from MohaAM/en_pipeline: direct link, hf CLI and curl.
- Browser
- Download file 35.9 MB
-
https://huggingface.co/MohaAM/en_pipeline/resolve/main/ner/model
- Command line
-
hf download hf://MohaAM/en_pipeline/ner/model
-
curl -L -o model https://huggingface.co/MohaAM/en_pipeline/resolve/main/ner/model
35.9 MB
- Xet hash:
- 4bb886fb6e0ab54dd0293da9f62a26eac36eece6abeb1f9f72d3655377e17433
- Size of remote file:
- 35.9 MB
- SHA256:
- 2aba695cfd362a6cd5789a6958852b6ea1eca22663fd0fb910636543d90a799c
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