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:
- 293b0f21762ee94e4d6d2505b831bc381028fa417acd4a7ae4f8347288614bb3
- Size of remote file:
- 134 kB
- SHA256:
- 31897e1d91837cc2a1cad833eec4aa445fe402f1e02f57f80bb19cdc8b9752e6
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