Token Classification
spaCy
Danish
dacy
danish
pos tagging
morphological analysis
lemmatization
dependency parsing
named entity recognition
Eval Results (legacy)
Instructions to use chcaa/da_dacy_large_trf_1.0.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use chcaa/da_dacy_large_trf_1.0.0 with spaCy:
!pip install https://huggingface.co/chcaa/da_dacy_large_trf_1.0.0/resolve/main/da_dacy_large_trf_1.0.0-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("da_dacy_large_trf_1.0.0") # Importing as module. import da_dacy_large_trf_1.0.0 nlp = da_dacy_large_trf_1.0.0.load() - Notebooks
- Google Colab
- Kaggle
Download parser/model from chcaa/da_dacy_large_trf_1.0.0: direct link, hf CLI and curl.
- Browser
- Download file 1.29 MB
-
https://huggingface.co/chcaa/da_dacy_large_trf_1.0.0/resolve/main/parser/model
- Command line
-
hf download hf://chcaa/da_dacy_large_trf_1.0.0/parser/model
-
curl -L -o model https://huggingface.co/chcaa/da_dacy_large_trf_1.0.0/resolve/main/parser/model
1.29 MB
- Xet hash:
- 88ab16108c3e6a802765b48185789c264f13506cf9499f283d93b7d0c8db7444
- Size of remote file:
- 1.29 MB
- SHA256:
- 331a2a4b4d473c9db3ad0801551cae4de9cac45349a359839288f6947cfeff6b
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