Instructions to use emiltj/da_dacy_medium_DANSK_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use emiltj/da_dacy_medium_DANSK_ner with spaCy:
!pip install https://huggingface.co/emiltj/da_dacy_medium_DANSK_ner/resolve/main/da_dacy_medium_DANSK_ner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("da_dacy_medium_DANSK_ner") # Importing as module. import da_dacy_medium_DANSK_ner nlp = da_dacy_medium_DANSK_ner.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77cf9f1b2df1108cbd909188195f6f37d1a56b1944b957bea894dd3c136ad9c7
- Size of remote file:
- 1.13 GB
- SHA256:
- 2e17fdbfd89f240483e5c4802e54adf667398cc8a43a9f787d236b26ea2174d9
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