Instructions to use RaThorat/nl_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use RaThorat/nl_ner with spaCy:
!pip install https://huggingface.co/RaThorat/nl_ner/resolve/main/nl_ner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("nl_ner") # Importing as module. import nl_ner nlp = nl_ner.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 479a6496fa5a4e747610c01d3e607ce5cfe510ba31397fe9ae2d2fcf8ac0856d
- Size of remote file:
- 6.01 MB
- SHA256:
- 82cc09ef4a5e816848a579208e0411ae5f8fa69a7228e1be0465e1aeae43358b
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