Instructions to use beki/en_spacy_pii_fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use beki/en_spacy_pii_fast with spaCy:
!pip install https://huggingface.co/beki/en_spacy_pii_fast/resolve/main/en_spacy_pii_fast-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_spacy_pii_fast") # Importing as module. import en_spacy_pii_fast nlp = en_spacy_pii_fast.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8293458c03766faf39951e19371a1d1fddb276aaa9c098e77aabc8ec8a9baba3
- Size of remote file:
- 6.01 MB
- SHA256:
- cfc43c7ddaba72260102f9db7706d1d0e5af20fc471cf1ff7de2966ae28f0678
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