Instructions to use nestauk/en_skillner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use nestauk/en_skillner with spaCy:
!pip install https://huggingface.co/nestauk/en_skillner/resolve/main/en_skillner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_skillner") # Importing as module. import en_skillner nlp = en_skillner.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e917dc1b4ce4fe72d4e3c35ea9a1ab3ec3feba91b4585a26e31fdf7b5ab4af58
- Size of remote file:
- 6.38 MB
- SHA256:
- feadcb06a1ff7169640e3394e886c696675ccc6d651ebe5bf862fa97d761e0fe
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