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 tok2vec/model from chcaa/da_dacy_edge: direct link, hf CLI and curl.
- Browser
- Download file 6.27 MB
-
https://huggingface.co/chcaa/da_dacy_edge/resolve/main/tok2vec/model
- Command line
-
hf download hf://chcaa/da_dacy_edge/tok2vec/model
-
curl -L -o model https://huggingface.co/chcaa/da_dacy_edge/resolve/main/tok2vec/model
6.27 MB
- Xet hash:
- 35c08d0ffbc982c195d254d7a76347cee6d1d865642115913d4255c2a568a4a6
- Size of remote file:
- 6.27 MB
- SHA256:
- f124b1a38541b0a986cd2ecb4cbdfd987cec7c026d12d56a05d2188afd284e68
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