Token Classification
spaCy
Danish
dacy
danish
morphological analysis
dependency parsing
named entity recognition
Eval Results (legacy)
Instructions to use chcaa/da_dacy_edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use chcaa/da_dacy_edge with spaCy:
!pip install https://huggingface.co/chcaa/da_dacy_edge/resolve/main/da_dacy_edge-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("da_dacy_edge") # Importing as module. import da_dacy_edge nlp = da_dacy_edge.load() - Notebooks
- Google Colab
- Kaggle
Download lemmatizer/model from chcaa/da_dacy_edge: direct link, hf CLI and curl.
- Browser
- Download file 175 kB
-
https://huggingface.co/chcaa/da_dacy_edge/resolve/main/lemmatizer/model
- Command line
-
hf download hf://chcaa/da_dacy_edge/lemmatizer/model
-
curl -L -o model https://huggingface.co/chcaa/da_dacy_edge/resolve/main/lemmatizer/model
175 kB
- Xet hash:
- 77f427d1ff70410b56b7a3fd16f2d4491f08ef6b88dfe384fbd5affeee91d6df
- Size of remote file:
- 175 kB
- SHA256:
- b210c2908d3c6d4682d613eeee32ba20dc8125b0504c5c2d47c3a8fcea249397
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